← Back to VOLUME 2, ISSUE 10, OCTOBER 2013
This work is licensed under a Creative Commons Attribution 4.0 International License.
An Online Purchase Portal for Books and Seeds in Regional Language (Punjabi)
ER. DEEPINDER KAUR, ER. SALAM DIN Department of SEEIT, PAU, Ludhiana, India Associate Professor, Department of SEEIT, PAU, Ludhiana, India
Downloads: Download PDF
π 39 viewsπ₯ 0 downloads
Abstract: In the sports video analysis, the most important part is the movement of player (object) detection and tracking. The purpose is to detect the movement of player from the background image in video sequence and for the player tracking. This paper proposes a new method to detect players based on background subtraction. A reliable background updating model is established. A dynamic optimization threshold method is used to obtain a more complete behaviour of moving player and tracking. Motion of a moving player and tracking in a video stream is studied and its velocity is detected. The centroid of object is computed to use in the analyses of the position of the moving human body. The experimental results show that the proposed method runs quickly, accurately and fits for the real-time detection.
Keywords: Background subtraction, Object detection, Object tracking, Velocity estimation
Keywords: Background subtraction, Object detection, Object tracking, Velocity estimation
How to Cite:
[1] ER. DEEPINDER KAUR, ER. SALAM DIN Department of SEEIT, PAU, Ludhiana, India Associate Professor, Department of SEEIT, PAU, Ludhiana, India, βAn Online Purchase Portal for Books and Seeds in Regional Language (Punjabi),β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
