International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1389
3
1
gregorian
2010
6
1
2
2
online
1
fulltext
en
A Novel Descriptor for Pedestrian Detection in Video Sequences
فناوری اطلاعات
Information Technology
پژوهشي
Research
<p>This paper presents a novel Texture-Edge Descriptor, TED, for background modeling and pedestrian detection in video sequences which models texture and edge information of each image block simultaneously. Each block is modeled as a group of adaptive TED histograms that are calculated for pixels of the block over a rectangular neighborhood. TED is an 8-bit binary code which is independent of the neighborhood size. Experimental results over real-world sequences from PETS database clearly show that TED outperforms LBP.</p>
pedestrian detection, texture, edge, block-based approach, background subtraction, surveillance systems
1
8
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-229&slc_lang=en&sid=1
Narges
Armanfard
1003194753284600851
1003194753284600851
Yes
Dept. of Electrical and Computer Eng. Tarbiat Modarres University Tehran, Iran
Majid
Komeili
1003194753284600852
1003194753284600852
No
Dept. of Electrical and Computer Eng. Tarbiat Modarres University Tehran, Iran
Ehsanollah
Kabir
1003194753284600853
1003194753284600853
No
Dept. of Electrical and Computer Eng. Tarbiat Modarres University Tehran, Iran