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access icon free Tracking with scattering descriptor

  • Author(s): Xiaolin Tian 1, 2 ; Licheng Jiao 1 ; Xiaowei Shang 1
    • View affiliations
    • Affiliations: 1: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, People's Republic of China;
      2: Also with Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, Xi'an 710071, People's Republic of China
  • Source: Volume 8, Issue 3, June 2014, p. 195 – 206
    DOI:  10.1049/iet-cvi.2013.0124 , Print ISSN 1751-9632, Online ISSN 1751-9640
© The Institution of Engineering and Technology
Received 21/05/2013, Accepted 10/08/2013, Revised 08/07/2013, Published 08/10/2013

This study proposes a new method to track the moving object based on undecimated scattering transform (UST). The UST removes the down-sampling operation from the traditional scattering transform to produce a complete representation. Based on the UST, the structural information of object can be captured, which is a highly discriminative representation and facilitates the tracker to distinguish the object from background. The update parameter of tracking model is adaptively adjusted by the correlation coefficient. Occlusion identification is achieved by using a new cascaded model, which can correctly find occlusion and avoid the drift. Experimental results demonstrate that the proposed method is able to track the object accurately and reliably in realistic videos where the appearance and motion change drastically over time.

Inspec keywords: image representation; scattering; image motion analysis; object tracking

Other keywords: UST; correlation coefflcient; undecimated scattering transform; cascaded model; occlusion identification; moving object tracking; down-sampling operation; object structural information; scattering descriptor

Subjects: Optical, image and video signal processing; Computer vision and image processing techniques

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