Title :
PhD forum: Keypoints-based background model and foreground pedestrians extraction for future smart cameras
Author :
Hamdoun, Omar ; Moutarde, Fabien
Author_Institution :
Robot. Lab. (CAOR), Mines ParisTech, Paris, France
fDate :
Aug. 30 2009-Sept. 2 2009
Abstract :
In this paper, we present a method for background modeling using only keypoints, and detection of foreground moving pedestrians using background keypoints substraction followed by adaBoost classification of foreground keypoints. A first experimental evaluation shows very promising detection performances in real-time.
Keywords :
computer vision; feature extraction; image classification; object detection; adaBoost classification; background keypoints substraction; foreground pedestrian extraction; keypoints-based background model; smart camera; Computer vision; Embedded computing; Humans; Intelligent robots; Monitoring; Object detection; Smart cameras; Streaming media; Surveillance; Systolic arrays; background substraction; interest points; video-surveillance;
Conference_Titel :
Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on
Conference_Location :
Como
Print_ISBN :
978-1-4244-4620-9
Electronic_ISBN :
978-1-4244-4620-9
DOI :
10.1109/ICDSC.2009.5289390
