Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
- pp 90-102
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TLDR
The paper gives an overview of the various tasks involved in motion analysis of the human body, and focuses on three major areas related to interpreting human motion: motion analysis involving human body parts, tracking of human motion using single or multiple cameras, and recognizing human activities from image sequences.Abstract:
Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing. The paper gives an overview of the various tasks involved in motion analysis of the human body. The authors focus on three major areas related to interpreting human motion: 1) motion analysis involving human body parts, 2) tracking of human motion using single or multiple cameras, and 3) recognizing human activities from image sequences. Motion analysis of human body parts involves the low-level segmentation of the human body into segments connected by joints, and recovers the 3D structure of the human body using its 2D projections over a sequence of images. Tracking human motion using a single or multiple camera focuses on higher-level processing, in which moving humans are tracked without identifying specific parts of the body structure. After successfully matching the moving human image from one frame to another in image sequences, understanding the human movements or activities comes naturally, which leads to a discussion of recognizing human activities. The review is illustrated by examples.read more
Citations
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Journal ArticleDOI
Human movements and abstract motion displays activate different processes in the observer's motor system
TL;DR: This work used transcranial magnetic stimulation to directly compare cortico-spinal excitability during observation of actions and motion stimuli that complied with or violated normal human kinematics to suggest a dissociation in how human movements and abstract motion displays engage the observer's motor system.
Journal ArticleDOI
Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks
TL;DR: Two different views are presented to illustrate the range of spatial models, taking a top-down and a bottom-up look, starting with a promising spatial primitive to identify a useful foundation that can support visual surveillance applications.
Proceedings ArticleDOI
Comprehending a hand motion language in shape conceptualization
TL;DR: The results clearly indicate the potentials of a HML in shape conceptualization and reveal the need of chunking of the hand motion sequences in a way that enables the computer system to reliably reconstruct shapes and the designers to understand the formation of shapes on a higher semantic level.
Journal ArticleDOI
Extracting moving shapes by evidence gathering
TL;DR: The new approach combining moving arbitrary shape description with motion templates permits us to achieve the objective of low dimensionality extraction of arbitrarily moving arbitrary shapes with performance advantage as reflected by the results this new technique can achieve.
Book ChapterDOI
A Vision-Based Method for Recognizing Non-manual Information in Japanese Sign Language
Ming Xu,Bisser Raytchev,Katsuhiko Sakaue,Osamu Hasegawa,Atsuko Koizumi,Masaru Takeuchi,Hirohiko Sagawa +6 more
TL;DR: A vision-based method for recognizing the nonmanual information in Japanese Sign Language (JSL) and this new modality information provides grammatical constraints useful for JSL word segmentation and interpretation is described.
References
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Proceedings ArticleDOI
Determining Optical Flow
TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI
Pfinder: real-time tracking of the human body
TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Journal ArticleDOI
Representation and recognition of the spatial organization of three-dimensional shapes.
David Marr,H. K. Nishihara +1 more
TL;DR: The human visual process can be studied by examining the computational problems associated with deriving useful information from retinal images by applying the approach to the problem of representing three-dimensional shapes for the purpose of recognition.
Proceedings ArticleDOI
Recognizing human action in time-sequential images using hidden Markov model
Junji Yamato,J. Ohya,K. Ishii +2 more
TL;DR: The recognition rate is improved by increasing the number of people used to generate the training data, indicating the possibility of establishing a person-independent action recognizer.
Journal ArticleDOI
Visual motion perception.
TL;DR: The author uses projective relations as the theoretical foundation of his investigations of visual space and motion and concludes that during locomotion the components of the human visual environment are interpreted as rigid structures in relative motion.