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Jang, Gil-Jin
Machine Intelligence Lab
Research Interests
  • Acoustic signal processing
  • Computer vision
  • Biomedical signal processing

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Occlusion detection using horizontally segmented windows for vehicle tracking

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Title
Occlusion detection using horizontally segmented windows for vehicle tracking
Author
Jo, AhraJang, Gil-JinHan, Bohyung
Issue Date
2015-01
Publisher
SPRINGER
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v.74, no.1, pp.227 - 243
Abstract
This paper proposes an efficient algorithm for detecting occlusions in a video sequences of ground vehicles using color information. The proposed method uses a rectangular window to track a target vehicle, and the window is horizontally divided into several sub-regions of equal width. Each region is determined to be occluded or not based on the color histogram similarity to the corresponding region of the target. The occlusion detection results are used in likelihood computation of the conventional tracking algorithm based on particle filtering. Experimental results in real scenes show that the proposed method finds the occluded region successfully and improves the performance of the conventional trackers.
URI
https://scholarworks.unist.ac.kr/handle/201301/10727
URL
http://link.springer.com/article/10.1007%2Fs11042-013-1846-5
DOI
10.1007/s11042-013-1846-5
ISSN
1380-7501
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