DocumentCode :
238565
Title :
Human recognition for surveillance systems using bounding box
Author :
Deepak, P. ; Krishnakumar, S. ; Suresh, Smitha
Author_Institution :
Sch. of Technol. & Appl. Sci.Cochin, M.G Univ., Edappally, India
fYear :
2014
fDate :
27-29 Nov. 2014
Firstpage :
851
Lastpage :
856
Abstract :
In all computer vision system, the important step is to separate moving object from background and thus detecting all the objects from video images. The main aim of this paper is to design a bounding box concept for the human detection and tracking system in the presence of crowd. The images are captured by using monocular cameras. The bounding box around each object can track the moving objects in each frame and it can be used to detect crowd and the estimation of crowd. This paper gives the implementation results of bounding box for detecting objects and its tracking.
Keywords :
computer vision; image motion analysis; object detection; video signal processing; video surveillance; bounding box; computer vision system; human recognition; monocular cameras; moving object; object detection; surveillance systems; video images; Cameras; Computer vision; Feature extraction; Noise; Object detection; Surveillance; Bounding Boxes; Computer Vision; Crowd; Crowd estimation; Monocular cameras; Object detection; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
Type :
conf
DOI :
10.1109/IC3I.2014.7019631
Filename :
7019631
Link To Document :
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