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
Skeleton-Aided Articulated Motion Generation
TL;DR: This work makes the first attempt to generate articulated human motion sequence from a single image by utilizing paired inputs including human skeleton information as motion embedding and a single human image as appearance reference to generate novel motion frames based on the conditional GAN infrastructure.
Patent
Human tracking system
TL;DR: In this article, a grid of voxels is generated based on the depth image such that a depth image may be downsampled, and a background is removed to isolate one or more objects associated with a foreground object such as a human target.
Proceedings ArticleDOI
A Human Action Recognition System for Embedded Computer Vision Application
TL;DR: In this paper, a hierarchical motion history histogram (HMHH) feature is proposed to represent the motion information and a low-dimensional feature vector is extracted from motion history images to be used in SVM classifiers.
Journal ArticleDOI
Recognition of human actions using motion history information extracted from the compressed video
TL;DR: This paper describes a system for recognition of various human actions from compressed video based on motion history information, and introduces the notion of quantifying the motion involved, through what is called Motion Flow History (MFH).
Book ChapterDOI
Human motion recognition using Isomap and dynamic time warping
Jaron Blackburn,Eraldo Ribeiro +1 more
TL;DR: This work demonstrates the applicability of Isomap for dimensionality reduction in human motion recognition and shows how an adapted dynamic time warping algorithm (DTW) can be successfully used for matching motion patterns of embedded manifolds.
References
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