Subspace-Based Adaptation of Detectors for Video

Authors(3) :-Sangeeta Bhan, Sunil Dalal, Pankaj Choudhary

Object detection in videos has always been a challenging problem to work with. Detection of a particular class object plays an important role in many real-world applications. Since the domain of source and target video vary significantly, classifier being trained on source video does not give expected results on the target video. Thus, domain adaptation techniques are used, one of which is Subspace Based Adaptation. In this technique, first, we compute both source and target subspace from the features collected. Since we do not have target data directly, we use different ways to get data from the target video. Compute subspace after collecting the data from both source and target videos. Eigen vectors describe this generated source and target subspaces.

Authors and Affiliations

Sangeeta Bhan
Computer Science and Engineering, Delhi Technological University, Delhi, India
Sunil Dalal
Department of Information Technology BGSB University, Rajouri, J&K, India
Pankaj Choudhary
Department of Information Technology BGSB University, Rajouri, J&K, India

Subspace, Detector, Adaptation, Histogram.

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 178-182
Manuscript Number : CSEIT411830
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sangeeta Bhan, Sunil Dalal, Pankaj Choudhary, "Subspace-Based Adaptation of Detectors for Video", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.178-182, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT411830

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