DocumentCode
2029242
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
fYear
2012
fDate
25-28 March 2012
Firstpage
870
Lastpage
873
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location
Yasmine Hammamet
ISSN
2158-8473
Print_ISBN
978-1-4673-0782-6
Type
conf
DOI
10.1109/MELCON.2012.6196567
Filename
6196567
Link To Document