Authors:
Brais Cancela
;
M. Ortega
and
Manuel G. Penedo
Affiliation:
University of A Coruña, Spain
Keyword(s):
Background Subtraction, Cascade Classifier, Histogram of Oriented Gradients, Particle Filter, Collision Detection.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Tracking and Visual Navigation
;
Video Surveillance and Event Detection
Abstract:
Multiple-target tracking is a challenging question when dealing with complex activities. Situations like partial
occlusions in grouping events or sudden target orientation changes introduce complexity in the detection which
is difficult to solve. In particular, when dealing with human beings, often the head is the only visible part.
Techniques based in upper body achieve good results in general, but fail to provide a good tracking accuracy
in the kind of situations mentioned before. We present a new methodology for provide a full tracking system
under complex activities. A combination of three different techniques is used to overcome the problems
mentioned before. Experimental results in sport sequences show both the speed and performance of this
technique.