Title :
A tracking framework for collaborative human computer interaction
Author :
Polat, E. ; Yeasin, M. ; Sharma, R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
The ability to track many people and their body parts (i.e., face and hands) in a complex environment is crucial for designing collaborative natural human computer interaction (HCI). A challenging issue in tracking body parts is the data association uncertainty while assigning measurements to the proper tracks in the case of occlusion and close interaction of body parts of different people. This paper describes a framework for tracking body parts of people in 2D/3D using a multiple hypothesis tracking (MHT) algorithm. A path coherence function has been incorporated along with MHT to reduce the negative effects of closely spaced measurements that produce unconvincing tracks and unnecessary computations. The performance of the framework has been validated using experiments on a real sequence of images.
Keywords :
feature extraction; groupware; image colour analysis; image motion analysis; image sequences; optical tracking; stereo image processing; user interfaces; body part tracking; close interaction; closely spaced measurements; collaborative human computer interaction; complex environment; data association uncertainty; image sequence; multiple hypothesis tracking algorithm; occlusion; path coherence function; tracking framework; Application software; Collaboration; Computer science; Design engineering; Face; Human computer interaction; Layout; Time measurement; Uncertainty; Velocity measurement;
Conference_Titel :
Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on
Print_ISBN :
0-7695-1834-6
DOI :
10.1109/ICMI.2002.1166964