NDLI: Perceptual object tracking

Content Provider	IEEE Xplore Digital Library
Author	Bruni, V. Rossi, E. Vitulano, D.
Copyright Year	2012
Description	Author affiliation: Dept. SB AI, Faculty of Engineering, University of Rome "La Sapienza", Via A. Scarpa 16, 00161 Rome, Italy (Bruni, V.) \|\| I.A.C. "M. Picone", C.N.R., Via dei Taurini 19, 00185 Rome, Italy (Rossi, E.; Vitulano, D.)
Abstract	This paper presents an improved kernel-based target tracking that uses new and effective features able to describe the target appearance. The key idea consists of adopting features that are related to the visual perception of the target in place of its color histogram. The change of the feature space is twofold advantageous. It allows us to faithfully follow the target and to considerably reduce the computational cost of the whole tracking algorithm thanks to the reduced dimension of the perceptual feature space. Preliminary tests on some video sequences are encouraging. The proposed tracker is able to follow the target even in case of complete occlusion for some consecutive frames. Moreover, it is more stable than the algorithm that uses just the luminance histogram as target feature. Finally, it is robust to the presence of other moving targets.
Starting Page	1
Ending Page	7
File Size	11978496
Page Count	7
File Format	PDF
ISBN	9781467327220
e-ISBN	9781467327237
DOI	10.1109/BIOMS.2012.6345774
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel-based tracking Histograms Target tracking Target localization and representation Feature extraction Perception laws Computational efficiency Nonrigid object tracking Kernel
Content Type	Text
Resource Type	Article

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