Efficient object tracking in video sequences by means of LS-N-IPS

A recently introduced particle filtering method, called LS-N-IPS (local search N-interacting particle system), is considered for tracking objects on video sequences. LS-N-IPS is a computationally efficient particle filter that performs better than the standard N-IPS particle filter, when observation...

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Bibliographic Details
Published inISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat pp. 277 - 282
Main Authors Torma, P., Szepesvari, C.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2001
IEEE Service Center
Subjects
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering algorithms
High performance computing
Image processing
Information, signal and communications theory
Particle filters
Particle tracking
Random variables
Robustness
Signal and communications theory
Signal processing
Signal, noise
Spline
Telecommunications and information theory
Video sequences
B spline
Performance evaluation
Target tracking
Image processing
Object detection
Video signal
Edge detection
Implementation
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Summary:A recently introduced particle filtering method, called LS-N-IPS (local search N-interacting particle system), is considered for tracking objects on video sequences. LS-N-IPS is a computationally efficient particle filter that performs better than the standard N-IPS particle filter, when observations are highly peaky, as is the case of visual object tracking problems with good observational models. An implementation of LS-N-IPS that uses B-spline based contour models is proposed and is shown to perform very well as compared to similar state-of-the art tracking algorithms.
ISBN:9539676940
9789539676948
DOI:10.1109/ISPA.2001.938641