Visual tracking via locality sensitive histograms

• Main Authors: HE, Shengfeng, YANG, Qingxiong, LAU, Rynson W.H., WANG, Jian, YANG, Ming-Hsuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Illumination changes; Illumination invariant; Image histograms; Intensity values; Locality sensitives; State-of-the-art methods; Tracking algorithm; Visual tracking; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8433; https://ink.library.smu.edu.sg/context/sis_research/article/9436/viewcontent/Visual_Tracking_via_Locality_Sensitive_Histograms.pdf
• Institution: Singapore Management University

This paper presents a novel locality sensitive histogram algorithm for visual tracking. Unlike the conventional image histogram that counts the frequency of occurrences of each intensity value by adding ones to the corresponding bin, a locality sensitive histogram is computed at each pixel location...