![]() Additionally, the paper also presents the performance of various model evaluation search strategies within PSO tracking framework for 3D pose tracking. An attempt is made to provide a guide for the researchers working in the field of PSO based human motion tracking from video sequences. This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space. However, conventional approaches such as stochastic particle filtering have shortcomings in computational cost, slowness of convergence, suffers from the curse of dimensionality and demand a high number of evaluations to achieve accurate results. It was initially added to our database on. The latest version of NVIDIA nView is 149.77, released on. It was checked for updates 1,602 times by the users of our client application UpdateStar during the last month. Several approaches have been proposed in the literature using different techniques. NVIDIA nView is a Shareware software in the category Audio & Multimedia developed by NVIDIA Corporation. However, this is one of the most challenging problem in computer vision and pattern recognition due to the high-dimensional search space, self-occlusion, and high variability in human appearance. The goal of human motion capture is to estimate the joints angles of human body at any time. Automatic human motion tracking in video sequences is one of the most frequently tackled tasks in computer vision community.
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