Multi-object tracking in non-stationary video using bacterial foraging swarms

One of the key problems in the field of image processing is object tracking in video. Multiple objects, occlusion, and non-stationary video are some of the challenges that one may face in developing an effective approach. A less-studied approach considers swarm intelligence. This paper presents a new and improved algorithm based on Bacterial Foraging Optimization in order to track multiple objects in real-time video exposed to full and partial occlusion, using video from both fixed and moving cameras. A comparison with various algorithms is provided.

• Type: Journal
• Year: 2009
• Where: ICIP
• Authors: Hoang Thanh Nguyen, Bir Bhanu
• Keywords: ICIP 2009, Image Processing, Multiple Objects, Non-stationary Video, Video