• k Rajitha
• Shaik Taj Mahaboob
• T.S.Mahammed Basha

This paper presents a novel visual tracking approach to correlation filter learning toward peak strength of correlation response. In the previous methods during tracking some of the features are distractive like occlusion and local deformation which results in poor tracking performance. And in this paper we are going to solve this problem by using correlation filtering. Many applications are like unmanned control systems, motion analysis, video processing and security.

correlation filtering,elastic net,kernel method,regression,visual tracking

"A COMPREHENSIVE STUDY OF CORRELATION FILTER LEARNING TOWARD PEAK STRENGTH FOR VISUAL TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.316-317, March-2019, Available :http://www.jetir.org/papers/JETIRAK06061.pdf

"A COMPREHENSIVE STUDY OF CORRELATION FILTER LEARNING TOWARD PEAK STRENGTH FOR VISUAL TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp316-317, March-2019, Available at : http://www.jetir.org/papers/JETIRAK06061.pdf