Multi-object filtering from image sequence without detection

Almost every single-view visual multi-target tracking method presented in the literature includes a detection routine that maps the image data to point measurements relevant to the target states. These measurements are commonly further processed by a filter to estimate the number of targets and their states. This paper presents a novel visual tracking technique based on a multi-object filtering algorithm that operates directly on the image observations without the need for any detection. Experimental results on tracking sport players show that our proposed method can automatically track numerous interacting targets and quickly finds players entering or leaving the scene.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo
• Keywords: ICASSP 2010, Multi-object filtering Algorithm, Numerous Interacting Targets, Signal Processing, Visual Multi-target Tracking