Title :
Model-based robust and pecise tracking embedded in smart cameras—the PFAAM-CAM
Author :
Hoffmann, M.R. ; Swart, A. ; Hunter, K.M. ; Herbst, B.M. ; Flecky, S. ; Strasser, W.
Author_Institution :
Dept. of Math. Sci., Univ. of Stellenbosch, Stellenbosch
Abstract :
Top down tracking approaches like particle filtering are known for their robustness since they can handle multimodal probability density functions. Active appearance models (AAMs), on the other hand, allow for precise, model-based tracking but suffer from limited robustness. The particle filter AAM combination (PFAAM), exploits the best of both worlds. In this paper the PFAAM is embedded on a smart camera. We present the necessary changes to achieve faster performance for the limited resources available in this embedded environment. The proposed implementation of the PFAAM on the smart camera-the PFAAM cam-offers various benefits compared to a more traditional, centralised approach. All the processing is performed on the camera that allows it to run on the raw and thus artefact free video data. Also, only the resulting parameters of the AAM are transmitted; no video feed has thus to leave the camera that significantly reduces the necessary bandwidth.
Keywords :
embedded systems; image sensors; intelligent sensors; particle filtering (numerical methods); target tracking; active appearance models; artefact free video data; embedded environment; model-based robust system; multimodal probability density functions; particle filtering; precise tracking system; smart cameras; Active appearance model; Active shape model; Bandwidth; Feeds; Filtering; Particle filters; Particle tracking; Probability density function; Robustness; Smart cameras; active appearance models; particle filters; smart cameras; tracking;
Conference_Titel :
Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on
Conference_Location :
Stanford, CA
Print_ISBN :
978-1-4244-2664-5
Electronic_ISBN :
978-1-4244-2665-2
DOI :
10.1109/ICDSC.2008.4635676
