Abstract
Focusing on the failure under the condition of target blocking, the similarity between target color and background color for the Camshift algorithm, an improved algorithm based on Camshift algorithm is proposed. Gaussian mixture model is used to determine the tracking area fast and accurately because it is not sensitive to the external conditions such as light and shadow. Kalman predictor is used to predict the blocked target effectively. The video is processed in the MATLAB environment. The moving target can be tracked and its position can be predicted accurately with the proposed improved algorithm. The results verify the feasibility and effectiveness of the algorithm.
Highlights
Intelligent video processing technology is used in the target detection and identification and tracking, behavior analysis and other aspects of the daily life
Focusing on the failure under the condition of target blocking, the similarity between target color and background color for the Camshift algorithm, an improved algorithm based on Camshift algorithm is proposed
Due to the requirement of the initialization manually for Camshift tracking, Wu D [3] proposed the use of interframe difference algorithm with low computational complexity and motion prediction based on the previous moment to achieve the effective target tracking in the occlusion
Summary
Intelligent video processing technology is used in the target detection and identification and tracking, behavior analysis and other aspects of the daily life. What’s more, Camshift is improved in amount situations when the tracking target is heavily sheltered [2] or similar to the environment background in the same hue. Due to the requirement of the initialization manually for Camshift tracking, Wu D [3] proposed the use of interframe difference algorithm with low computational complexity and motion prediction based on the previous moment to achieve the effective target tracking in the occlusion. Xia J [7] proposed the combination of two-frame-difference and Camshift to track the target. Focusing on the issues above, an improved algorithm has been proposed to deal with the background and occluded target. Kalman prediction can calculate the position of the moving target whether it is occluded or not
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
