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
Action recognition based on binary patterns of action-history and histogram of oriented gradient
TL;DR: This paper has proposed an approach for human activity modeling that describes human motions as a texture pattern that has shown 86.67 % recognition rate in the 6- classes of KTH Action Dataset and 94.3 % accuracy in the 7-classes of Pedestrian ActionDataset.
Journal ArticleDOI
Tracking features in image sequences with Kalman filtering, global optimization, mahalanobis distance and a management model
TL;DR: This work addresses the problem of tracking feature points along image sequences with an approach based on the Kalman filtering technique, which basically carries out the estimation and correction of the features’ movement in every image frame to achieve the best global correspondence set.
Proceedings ArticleDOI
Motion recognition approach to solve overwriting in complex actions
TL;DR: This paper presents a directional motion recognition approach that can solve the motion overwriting for complex actions or activities and compares these methods for several complex datasets with complex dimensions.
Patent
Temperature measurement and control for laser and light-emitting diodes
Leo Del Castillo,Dawson Yee +1 more
TL;DR: In this paper, the junction temperature of an LED or laser diode was measured using a voltage measurement circuit, which can be used to provide temperature regulation of the diode package, with or without determining the actual junction temperature.
Proceedings ArticleDOI
Feature extraction for the analysis of gait and human motion
TL;DR: An ability to accurately measure gait velocity, stance width, stride length, arm swing, cadence, and stance times from multi-view, video sequences of human movement captured in a complex home environment is demonstrated.
References
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Proceedings ArticleDOI
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