Visual tracking using meta-heuristic optimal algorithm - Couverture souple

Gao, Mingliang; Shen, Jin; Yin, Liju

 
9783330041837: Visual tracking using meta-heuristic optimal algorithm

Synopsis

Visual tracking has emerged as a crucial task in several applications, e.g., robotics, surveillance, vision-based control and human computer interfaces. However, visual tracking is still a challenging task. In the monograph, visual tracking is interpreted as an optimization problem. Two meta-heuristic optimal algorithms, namely, bat algorithm and harmony search are applied to solve tracking problems. The monograph presents a new way to solve visual tracking problem and expands the applications of meta-heuristic optimal algorithm.

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À propos de l?auteur

Mingliang Gao received PhD in communication and information systems from Sichuan University, Chengdu, China, in 2013. His main research interests include meta-heuristic optimization, analysis of motion, and visual tracking.

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