Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
- pp 90-102
Reads0
Chats0
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
More filters
Patent
Compound gesture-speech commands
TL;DR: In this paper, a multimedia entertainment system combines both gestures and voice commands to provide an enhanced control scheme, where a user's body position or motion may be recognized as a gesture, and may be used to provide context to recognize user generated sounds, such as speech input.
Proceedings ArticleDOI
Automated gesture segmentation from dance sequences
TL;DR: An algorithm called hierarchical activity segmentation is proposed, which employs a dynamic hierarchical layered structure to represent human anatomy, and uses low-level motion parameters to characterize motion in the various layers of this hierarchy, which correspond to different segments of the human body.
Journal ArticleDOI
Efficient duration and hierarchical modeling for human activity recognition
TL;DR: This paper exploits efficient duration modeling using the novel Coxian distribution to form the Coxian hidden semi-Markov model (CxHSMM) and applies it to the problem of learning and recognizing ADLs with complex temporal dependencies, demonstrating that Coxian modeling outperforms a range of baseline models for the task of activity segmentation.
Journal ArticleDOI
Observation and analysis of large-scale human motion
TL;DR: The baseline of the approach consists of sacrificing much of the spatial accuracy and temporal resolution of widely used biomechanical measurement systems, to obtain data on human movement that span large areas and long intervals of time.
Patent
Moving Object Segmentation Using Depth Images
Richard Newcombe,Shahram Izadi,Otmar Hilliges,David Kim,David Molyneaux,Jamie Shotton,Pushmeet Kohli,Andrew Fitzgibbon,Stephen E. Hodges,David Alexander Butler +9 more
TL;DR: In this article, a moving object is segmented from the background of a depth image of a scene received from a mobile depth camera using an iterative closest point algorithm, which includes a determination of a set of points that correspond between the current depth image and the previous depth image.
References
More filters
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.