Abstract: In the recent years, tracking of human motion in the cluttered environment is difficult task, particularly by taking various tracking parameters in dynamic scenes has been the important research area. Previously, many researchers have approached the tracking of human body by considering dynamic situations where the appearance of human are in isolation and smaller occlusion but without rendering the clarity in occlusion. Owing to the crowded, dynamic background environment of the camera and scenes, the external disturbances is caused due to the background objects and also by the infrared. The lack of results in terms of video sequences rose due to human in motion with varying lightening conditions. In order to overcome the recent trends in Video tracking parameters, this styudy, proposes a research analysis on tracking parameters for human objects with static and moving condition. This study also analyzes the effect of each case study to bring out the conclusive remarks on the suitability of dynamic tracking algorithm for the human objects. Comparative analysis of both static and dynamic tracking algorithm was also done with the quantitative evaluation. From the experimental results, it is concluded that the dynamic tracking algorithm has got an edge over the existing methods in accuracy, computation time and erroneous.
M. Mahalakshmi, R. Kanthavel and R. Dhaya, 2016. Research Analysis of Dynamic Human Object Tracking Algorithm with Various Tracking Parameters under Complex Environment. Asian Journal of Information Technology, 15: 1032-1041.