Paper Info
Title
Fast, integrated person tracking and activity recognition with plan-view templates from a single stereo camera
Abstract
Plan-view projection of real-time depth imagery can improve the statistics of its intrinsic 3D data, and allows for cleaner separation of occluding and closely-interacting people. We build a probabilistic, real-time multi-person tracking system upon a plan-view image substrate that well preserves both shape and size information of foreground objects. The tracking's robustness derives in part from its "plan-view template" person models, which capture detailed properties of people's body configurations. We demonstrate that these same person models - obtained with a single compact stereo camera unit - may also be used for fast recognition of body pose and activity. Principal components analysis is used to extract plan-view "eigenposes", onto which person models, extracted during tracking, are projected to produce a compact representation of human body configuration. We then formulate pose recognition as a classification problem, and use support vector machines (SVMs) to quickly distinguish between, for example, different directions people are facing, and different body poses such as standing, sitting, bending over, crouching, and reaching. The SVM outputs are transformed to probabilities and integrated across time in a probabilistic framework for real-time activity recognition
Year
DOI
Venue
2004
10.1109/CVPR.2004.1315191
CVPR (2)
Keywords
Field
DocType
body configuration,different directions people,integrated person tracking,real-time activity recognition,fast recognition,single stereo camera,plan-view template,plan-view image substrate,closely-interacting people,human body configuration,person model,different body,real time,principal component analysis,support vector machine,activity recognition,gesture recognition,human body,tracking,support vector machines
Stereo camera,Computer vision,Activity recognition,Pattern recognition,Computer science,Support vector machine,Tracking system,Gesture recognition,Robustness (computer science),Artificial intelligence,Probabilistic logic,Principal component analysis
Conference
ISSN
Citations 
PageRank 
1063-6919
38
1.53
References 
Authors
16
2
Name
Order
Citations
PageRank
Michael Harville136935.55
Dalong Li216711.77