Multi-view object and human body part detection utilizing 3D scene information

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.

• Type: Journal
• Year: 2010
• Where: ICIP
• Authors: Georgios Sfiris, Nikolaos Nikolaidis, Ioannis Pitas
• Keywords: False Detections, ICIP 2010, Image Processing, Multiview Object, Single View Detector