Title :
Multi-view object and human body part detection utilizing 3D scene information
Author :
Sfiris, Georgios ; Nikolaidis, Nikolaos ; Pitas, Ioannis
Author_Institution :
Inf. & Telematics Inst., CERTH, Thessaloniki, Greece
Abstract :
The aim of this paper is to present a new method for multiview object or human body (or body part) detection. The basic idea consists of using a single view detector in every view of a scene captured by multiple cameras and then combining the results using the 3D information of the scene. The method can improve the results of the single view detector, while also localizing the object/human in the 3D space. This results in a robust way for rejecting the false detections, amending the missed detections and associating the results of the single view detector across views.
Keywords :
object detection; 3D scene information; human body part detection; human localization; multiview object; object localization; single view detector; Calibration; Cameras; Detectors; Humans; Image color analysis; Pixel; Three dimensional displays;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652542