Title :
People detection based on appearance and motion models
Author :
Garcia-Martin, A. ; Hauptmann, Alexander ; Martinez, J.M.
Author_Institution :
Video Process. & Understanding Lab., Univ. Autonoma de Madrid, Madrid, Spain
fDate :
Aug. 30 2011-Sept. 2 2011
Abstract :
The main contribution of this paper is a new people detection algorithm based on motion information. The algorithm builds a people motion model based on the Implicit Shape Model (ISM) Framework and the MoSIFT descriptor. We also propose a detection system that integrates appearance, motion and tracking information. Experimental results over sequences extracted from the TRECVID dataset show that our new people motion detector produces results comparable to the state of the art and that the proposed multimodal fusion system improves the obtained results combining the three information sources.
Keywords :
computer vision; motion estimation; object detection; ISM Framework; MoSIFT descriptor; TRECVID dataset; implicit shape model framework; motion information; multimodal fusion system; people motion detection algorithm; Adaptation models; Detectors; Humans; Shape; Surveillance; Tracking; Training; MoSIFT; People detection; implicit motion model; implicit shape model;
Conference_Titel :
Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on
Conference_Location :
Klagenfurt
Print_ISBN :
978-1-4577-0844-2
Electronic_ISBN :
978-1-4577-0843-5
DOI :
10.1109/AVSS.2011.6027333