Human Detection and Tracking Using Poselet with Weighted Motion Block Particle Filters
Ngoc-Nam Bui, Thuong-Khanh Tran, Chenlin Hu, Jin Young Kim, Hyoung‐Gook Kim · 2014
In recent years, there has been a great interest in detecting and tracking multiple individuals due to its complexity as well as wide application. Among various approaches, poselet has been proven to be applicable in various scenarios for locating people. Motivated by its advantages together with the tracking efficiency of Particle Filter, we would like to propose a parallel detection and tracking method by integrating the two techniques of handling this challenging problem. The experiments are carried out in a school area including both indoor and outdoor environment. The results have shown that our method can detect and keep track of the targeted individuals even under some complicated circumstances such as occlusion or varying lightning condition.