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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Proceedings ArticleDOI
Tracking Human Hand Motion Using Genetic Particle Filter
Zhu Ye,Zhi-Qiang Liu +1 more
TL;DR: This paper replaces the "Evolve" step of the particle filter by the mutation and crossover operators in the GA to solve the conventional Monte Carlo methods problems.
Journal ArticleDOI
Non-Rigid Structure-From-Motion With Uniqueness Constraint and Low Rank Matrix Fitting Factorization
TL;DR: A new constraint based framework for underconstrained non-rigid structure-from-motion problem to constrain the space of solution is proposed, based on a point trajectory approach with an additional uniqueness constraint applied to shape coefficients to reduce the basis required to construct the non- Rigid 3D shape.
Patent
Low inductance light source module
TL;DR: In this paper, a low inductance light source module comprising a connector having a layer of insulating material sandwiched between first and second conducting layers and a semiconducting light source was presented.
A Computer Vision System for Monitoring Production of Fast Food
TL;DR: Skin detection, shadow detection, and region-growing are used as low-level techniques in order to analyze a video of an employee preparing a hamburger or sandwich using a single static camera.
Book ChapterDOI
Recognizing Human Activities Using Non-linear SVM Decision Tree
TL;DR: A new method of human activity recognition based on \(\mathfrak{R}\) transform and non-linear SVM Decision Tree (NSVMDT), which is superior because the descriptor is robust to frame loss in activities recognition, simple representation, computational complexity and template generalization.
References
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Proceedings ArticleDOI
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