Title :
A novel selective approach for tracking individuals in video sequences
Author :
Ljouad, Tarik ; Amine, Aouatif ; Rziza, Mohammed
Author_Institution :
Fac. of Sci., Agdal Mohammed-V Univ., Rabat, Morocco
Abstract :
In this paper, we present a new approach dealing with mobile object tracking in a video sequence using primitive geometric forms in real time. Our system aims to reduce execution time while searching for correspondent region, by considering some strategical neighbors (in addition to the current position) to find the object of interest, while readapting search region´s size to handle false detections.
Keywords :
image sequences; object tracking; video signal processing; false detection handling; individual tracking; mobile object tracking; video sequences; Computational modeling; Humans; Kernel; Motion estimation; Search problems; Support vector machines; Tracking;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196567