Hasil untuk "Motion pictures"

Yonghwa Lee, Kyoung-Min Han

This article illuminates the open ending of Christopher Nolan's film Inception (2010) in light of Friedrich Nietzsche's philosophy. Drawing particularly on Nietzsche's notions of ascetic ideals and honest illusions, the article contends that Cobb's refusal to look at the spinning top can be seen not necessarily as his renunciation of autonomy but as his new attempt to affirm his existence and create meanings. Mal's tragic death has turned Cobb into an ascetic idealist who paradoxically resorts to self-torture to alleviate his pain and suffering. Only when he sees the destructive power of his sense of guilt about Mal does he come to realize that what he really needs is not exactly the ability to distinguish the dream world from reality per se but the ability to make things seem and feel real – that is, in Nietzsche's words, honest illusions. Faced with the challenge to regain the capability to see and appreciate illusions as illusions without deceiving himself into believing that they are real, Cobb takes “a leap of faith” with Saito into the world to which he wishes to belong and finally embraces the moment of seeing his children's faces, which, fortunately for him, seem real – that is, “good” – enough.

Louis Samuel Mealing

Since his debut feature The Return (2003), Andrey Zvyagintsev's films have drawn focus from film critics and theorists seeking to investigate a contextual analysis or the director's religious allusions. Hailed as the New Tarkovsky by some, a western-centric perspective has placed Zvyagintsev within the Russian canon from which he originates. However, in doing so, there has been a tendency to overlook a form and aesthetic that seeks to avoid these categorisations. By attempting to engage with his films independently from these frameworks and from a purely humanist perspective of subjectivity, the depth of Zvyagintsev's cinema comes to the surface. We find that the metaphysical reflections of Zvyagintsev's films relate not only to the cinema and its artificial worlds, but also to the position of the human in the real world. Independent of a prior historical or religious perspective, this metaphysical relationship to Zvyagintsev's films focuses on the human and the human consciousness. This article will engage with Zvyagintsev's first two features, The Return (2003) and The Banishment (2007), considering metaphysical aphorisms of one of Zvyagintsev's constant reference points, Georgian philosopher Merab Mamardashvili. This will allow us the opportunity to rethink the relations between cinematic form, the human and the consciousness.

Johnathan Xie, Stefan Stojanov, Cristobal Eyzaguirre et al.

Motion prediction has been studied in different contexts with models trained on narrow distributions and applied to downstream tasks in human motion prediction and robotics. Simultaneously, recent efforts in scaling video prediction have demonstrated impressive visual realism, yet they struggle to accurately model complex motions despite massive scale. Inspired by the scaling of video generation, we develop autoregressive flow matching (ARFM), a new method for probabilistic modeling of sequential continuous data and train it on diverse video datasets to generate future point track locations over long horizons. To evaluate our model, we develop benchmarks for evaluating the ability of motion prediction models to predict human and robot motion. Our model is able to predict complex motions, and we demonstrate that conditioning robot action prediction and human motion prediction on predicted future tracks can significantly improve downstream task performance. Code and models publicly available at: https://github.com/Johnathan-Xie/arfm-motion-prediction.

Yuya Ide, Hailong Liu, Takahiro Wada

Autonomous personal mobility vehicles (APMVs) are novel smart mobility devices designed to provide automated individual transportation in indoor or mixed-traffic environments. However, in such environments, frequent pedestrian avoidance maneuvers may cause rapid steering adjustments and passive postural responses from passengers, thereby increasing the risk of motion sickness. This study investigated whether indicating the future driving path could mitigate motion sickness in APMV passengers. A mixed-design experiment was conducted with 40 participants under two self-reported genders as a between-subject factor (male and female), two driving paths as a between-subject factor (irregular and regular) and three driving conditions as a within-subject factor (manual driving (MD), automated driving without path indication (AD w/o path), and automated driving with path indication (AD w/ path)). Motion sickness was evaluated using the Motion Illness Symptom Classification (MISC), and head motion was assessed by calculating the delay time of participants' head yaw rate relative to APMV's yaw rate in the turning direction. The results showed that driving condition was the only factor that significantly affected both motion sickness and head-motion delay. Compared with the AD w/o path condition, both the MD and AD w/ path conditions were associated with lower motion sickness severity, longer motion sickness onset latency, and earlier head motion relative to vehicle motion. Notably, the AD w/ path condition achieved motion sickness levels comparable to those in the MD condition. Furthermore, repeated-measures correlation analysis showed significant associations between head-motion delay and all MISC metrics but the underlying physiological mechanism remains to be elucidated. These findings suggest that presenting information about future driving path can mitigate motion sickness in APMV passengers.

Canxuan Gang, Yiran Wang

This report reviews recent advancements in human motion prediction, reconstruction, and generation. Human motion prediction focuses on forecasting future poses and movements from historical data, addressing challenges like nonlinear dynamics, occlusions, and motion style variations. Reconstruction aims to recover accurate 3D human body movements from visual inputs, often leveraging transformer-based architectures, diffusion models, and physical consistency losses to handle noise and complex poses. Motion generation synthesizes realistic and diverse motions from action labels, textual descriptions, or environmental constraints, with applications in robotics, gaming, and virtual avatars. Additionally, text-to-motion generation and human-object interaction modeling have gained attention, enabling fine-grained and context-aware motion synthesis for augmented reality and robotics. This review highlights key methodologies, datasets, challenges, and future research directions driving progress in these fields.

Xuling Zhang, Ziru Zhang, Yuyang Wang et al.

Metaverse, which integrates the virtual and physical worlds, has emerged as an innovative paradigm for changing people's lifestyles. Motion capture has become a reliable approach to achieve seamless synchronization of the movements between avatars and human beings, which plays an important role in diverse Metaverse applications. However, due to the continuous growth of data, current communication systems face a significant challenge of meeting the demand of ultra-low latency during application. In addition, current methods also have shortcomings when selecting keyframes, e.g., relying on recognizing motion types and artificially selected keyframes. Therefore, the utilization of keyframe extraction and motion reconstruction techniques could be considered a feasible and promising solution. In this work, a new motion reconstruction algorithm is designed in a spherical coordinate system involving location and velocity information. Then, we formalize the keyframe extraction problem into an optimization problem to reduce the reconstruction error. Using Deep Q-Learning (DQL), the Spherical Interpolation based Deep Q-Learning (SIDQL) framework is proposed to generate proper keyframes for reconstructing the motion sequences. We use the CMU database to train and evaluate the framework. Our scheme can significantly reduce the data volume and transmission latency compared to various baselines while maintaining a reconstruction error of less than 0.09 when extracting five keyframes.

Alaul Islam, Lijie Yao, Anastasia Bezerianos et al.

In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization in motion" for visualizations that are used in the presence of relative motion between a viewer and the visualization. Here, we describe how visualization in motion is relevant to sports scenarios. We also provide new data on current smartwatch visualizations for sports and discuss future challenges for visualizations in motion for fitness tracker.

Junyu Shi, Haoting Wu, Zhiyuan Zhang et al.

3D human motion prediction aims to generate coherent future motions from observed sequences, yet existing end-to-end regression frameworks often fail to capture complex dynamics and tend to produce temporally inconsistent or static predictions-a limitation rooted in representation shortcutting, where models rely on superficial cues rather than learning meaningful motion structure. We propose a two-stage self-supervised framework that decouples representation learning from prediction. In the pretraining stage, the model performs unified past-future self-reconstruction, reconstructing the past sequence while recovering masked joints in the future sequence under full historical guidance. A velocity-based masking strategy selects highly dynamic joints, forcing the model to focus on informative motion components and internalize the statistical dependencies between past and future states without regression interference. In the fine-tuning stage, the pretrained model predicts the entire future sequence, now treated as fully masked, and is further equipped with a lightweight future-text prediction head for joint optimization of low-level motion prediction and high-level motion understanding. Experiments on Human3.6M, 3DPW, and AMASS show that our method reduces average prediction errors by 8.8% over state-of-the-art methods while achieving competitive future-motion understanding performance compared to LLM-based models. Code is available at: https://github.com/JunyuShi02/MoReFun

Anna Franceschini

The article aims to investigate the salient features of Frederick Kiesler oeuvre – the theatrical mise-en-scene as a multimedia display, the dramatization of the space of consumption and the space of the art exhibition for immersive purposes, cinema understood as a totalizing and spiritual experience, and the intuition of a virtualized, individual and domestic experience of the artwork – through the analysis of a selection of his projects, in light of the most recent categories proposed for the investigation of immersivity. The purpose of this study is to place Kiesler’s work in a mediaarchaeological perspective that takes into account the constant and fruitful asynchrony with the media present in which his work is historically situated.

Haruki Takanashi, Kaoru Teranishi, Kiminao Kogiso

This study aims to develop an encrypted motion-copying system using homomorphic encryption for secure motion preservation and reproduction. A novel concept of encrypted motion-copying systems is introduced, realizing the preservation, edition, and reproduction of the motion over encrypted data. The developed motion-copying system uses the conventional encrypted four-channel bilateral control system with robotic arms to save the leader's motion by a human operator in the ciphertext in a memory. The follower's control system reproduces the motion using the encrypted data loaded from the secure memory. Additionally, the developed system enables us to directly edit the motion data preserved in the memory without decryption using homomorphic operation. Finally, this study demonstrates the effectiveness of the developed encrypted motion-copying system in free motion, object contact, and spatial scaling scenarios.

Alejandro Agostini, Justus Piater

In task and motion planning (TAMP), the ambiguity and underdetermination of abstract descriptions used by task planning methods make it difficult to characterize physical constraints needed to successfully execute a task. The usual approach is to overlook such constraints at task planning level and to implement expensive sub-symbolic geometric reasoning techniques that perform multiple calls on unfeasible actions, plan corrections, and re-planning until a feasible solution is found. We propose an alternative TAMP approach that unifies task and motion planning into a single heuristic search. Our approach is based on an object-centric abstraction of motion constraints that permits leveraging the computational efficiency of off-the-shelf AI heuristic search to yield physically feasible plans. These plans can be directly transformed into object and motion parameters for task execution without the need of intensive sub-symbolic geometric reasoning.

Andreas Orthey, Constantinos Chamzas, Lydia E. Kavraki

Sampling-based motion planning is one of the fundamental paradigms to generate robot motions, and a cornerstone of robotics research. This comparative review provides an up-to-date guideline and reference manual for the use of sampling-based motion planning algorithms. This includes a history of motion planning, an overview about the most successful planners, and a discussion on their properties. It is also shown how planners can handle special cases and how extensions of motion planning can be accommodated. To put sampling-based motion planning into a larger context, a discussion of alternative motion generation frameworks is presented which highlights their respective differences to sampling-based motion planning. Finally, a set of sampling-based motion planners are compared on 24 challenging planning problems. This evaluation gives insights into which planners perform well in which situations and where future research would be required. This comparative review thereby provides not only a useful reference manual for researchers in the field, but also a guideline for practitioners to make informed algorithmic decisions.

Tetsuro Asano, Daisuke Kawata, Michiko S. Fujii et al.

Theoretical models of spiral arms suggest that the spiral arms provoke a vertical bulk motion in disc stars. By analysing the breathing motion, a coherent asymmetric vertical motion around the mid-plane of the Milky Way disc, with $\textit{Gaia}$ DR3, we found that a compressing breathing motion presents along the Local arm. On the other hand, with an $N$-body simulation of an isolated Milky Way-like disc galaxy, we found that the transient and dynamic spiral arms induce compressing breathing motions when the arms are in the growth phase, while the expanding breathing motion appears in the disruption phase. The observed clear alignment of the compressing breathing motion with the Local arm is similar to what is seen in the growth phase of the simulated spiral arms. Hence, we suggest that the Local arm's compressing breathing motion can be explained by the Local arm being in the growth phase of a transient and dynamic spiral arm. We also identified the tentative signatures of the expanding breathing motion associated with the Perseus arm and also the Outer arm coinciding with the compressing breathing motion. This may infer that the Perseus and Outer arms are in the disruption and growth phases, respectively.

Davina Quinlivan

Avirup Ghosh

Dynamical evolution of black holes may be studied perturbatively in the membrane picture. We study the case of a body freely falling into a black hole, in the Rindler approximation. The motivation is to see if this process is accompanied by the induction of a non-zero supertranslation. Following previous studies, a notion of induction of supertranslation during a dynamical evolution is first introduced and then, the case of a freely falling body is investigated.

Noah Simon Jampol

Rachael E. Urbanek, Holly J. Ferreira, Colleen Olfenbuttel et al.

ABSTRACT For camera‐trap studies to produce accurate data, cameras should have reliable detection of animals within their field of view. We reviewed 1,503,330 pictures obtained from August–September 2016 and February–March 2017 in North Carolina, USA, using 36 Reconyx® PC900 HyperFire cameras (Reconyx, Holmen, WI, USA). We evaluated factors related to temperature, wind speed, and whether specific detection band(s) and zone(s) may have increased the probability of triggering cameras. We focused on 10 species to determine species‐specific reasons for not triggering the camera. The odds of triggering the camera increased when an animal was detected in more zones. Additionally, there were more triggers than expected if an animal was observed in both detections bands as opposed to none. Triggered events were species‐dependent, seeming to favor larger species. The Passive Infrared Motion Detector (PIR) missed 14–16% of the independent events of bears (Ursus americanus), coyotes (Canis latrans), bobcats (Lynx rufus), and red wolves (C. rufus), and were overall ineffective at triggering for squirrels (92%; Sciurus spp.) and rabbits (80%; Sylvilagus spp.). Many (47–64%) of the independent events of gray fox (Urocyon cinereoargenteus), raccoons (Procyon lotor), white‐tailed deer (Odocoileus virginianus), and opossums (Didelphis virginiana) would have been missed if only the PIR function was used. The lack of detection of these species may underestimate occupancy and abundance estimates of these populations. Our results suggest that Reconyx HyperFire PC900 cameras have limitations as a broad, catch‐all system for monitoring wildlife as a result of the layout of their infrared detection zones. © 2019 The Wildlife Society.

S. Alipour, A. T. Rezakhani, A. P. Babu et al.

We introduce a new dynamical picture, referred to as correlation picture,' which connects a correlated state to its uncorrelated counterpart. Using this picture allows us to derive an exact dynamical equation for a general open-system dynamics with system--environment correlations included. This exact dynamics is in the form of a Lindblad-like equation even in the presence of initial system-environment correlations. For explicit calculations, we also develop a weak-correlation expansion formalism that allows us to perform systematic perturbative approximations. This expansion provides approximate master equations which can feature advantages over existing weak-coupling techniques. As a special case, we derive a Markovian master equation, which is different from existing approaches. We compare our equations with corresponding standard weak-coupling equations by two examples, where our correlation picture formalism is more accurate, or at least as accurate as weak-coupling equations.

Samuel Leal

Segundo a antropóloga Els Lagrou, a reivindicação das identidades indígenas contemporâneas passa pela adesão a um “regime específico de produção estética do conhecimento”. Tomaremos tal “regime de produção” enquanto um território de pertencimento identitário para pensar a prática audiovisual em uma comunidade indígena da etnia xavante, localizada no Planalto Central do Brasil. A partir dessa questão, trabalha-se com filme média-metragem que mostra uma caminhada de adultos e crianças pela reserva, cujo destino final é a região de uma antiga aldeia. O local atualmente está fora dos limites do território demarcado e é ocupado por uma fazenda. Pensaremos no vídeo a relação entre imagem, memória e território, este último entendido como um espaço ao mesmo tempo físico, identitário e imagético. O filme trabalha a história comunitária a partir do deslocamento físico no território, ao qual corresponde um deslocamento no tempo na medida em que engendra a recuperação de uma memória. Esse duplo deslocamento projeta o olhar para o passado do território físico (a terra) de modo a ampliar as possibilidades de acesso ao território simbólico (a identidade) por meio da consolidação de um espaço imagético (o filme).

Jan Distelmeyer

Any interest in the relationship between today’s popular culture and images or visibility cannot escape the sustained signi cance of images delivered by various forms of graphical user interfaces. Since these interfaces are not only tools or even mere preparations of presentations but meaningful presentations themselves, this essay proposes to analyze them as operative images. By delivering a sort of signs, that combine iconic as well as symbolic and indexical qualities, operative images sketch out and perform interrelated concepts of both: the user and the computer/the digital. From this follows the importance of analyzing popular interfaces as a special kind of staging – as a mise-en-scène ‘depresenting’ the power and work of the computer and interrelating with the promises/fears shaping the myth of ‘the digital’ since the late 1980s. Struggling for a critical position against the mythical term ‘digital’, I have proposed the neologism ‘digitalicity’ [Digitalizität]. I will argue that establishing the analysis of ‘interface-mise-en-scène’ as something like a vital part of today’s media studies is largely and indeed long overdue. The graphical user interface of YouTube will be taken here as a case study. It will be discussed as a particular performance of the ‘aesthetics of regulation’ [Ästhetik der Verfügung], that informs the aesthetical appearance of computers, allowing and framing our handling with them. Characterized by a dialectic motion, the aesthetics of regulation raises questions of power: interfaces empower users to regulate and condemn them to be regulated at the same time.