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
Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications
TL;DR: A system to analyze activities and detect anomalies in a surveillance application, which exploits the intuition and experience of security and surveillance experts through an easy- to-use visual feedback loop and satisfied the security concerns of the environment.
Journal ArticleDOI
Detecting pedestrians on a Movement Feature Space
TL;DR: This work aims at detecting pedestrians in surveillance video sequences using a pre-processing step detects motion regions on the image using a scene background model based on level lines, which generates a Movement Feature Space, and a family of oriented histogram descriptors.
A Movement Tracking Management Model with Kalman Filtering, Global Optimization Techniques and Mahalanobis Distance
TL;DR: A management model is used which is able to deal with the occlusion and appearance of feature points and allows objects tracking in long sequences and minimizes the global matching cost based on the Mahalanobis distance.
Patent
Wide angle field of view active illumination imaging system
Giora Yahav,David Cohen +1 more
TL;DR: In this paper, an active illumination imaging system comprising a first camera and a second camera, each having an optical axis and a field of view (FOV) characterized by a view angle in a plane that contains the optical axis, is presented.
Proceedings ArticleDOI
Distribution and Recognition of Gestures in Human-Robot Interaction
Nuno Otero,Steffen Knoop,Chrystopher L. Nehaniv,Dag Sverre Syrdal,Kerstin Dautenhahn,Rüdiger Dillmann +5 more
TL;DR: The goal is to provide recognition methods with information and requirements on the characteristics and features of human activities in HRI, and to identify human preferences and requirements for the recognition of gestures in human-robot teaching scenarios.
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