Title :
Distributed and lightweight multi-camera human activity classification
Author :
Srivastava, Gaurav ; Iwaki, Hidekazu ; Park, Johnny ; Kak, Avinash C.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
Aug. 30 2009-Sept. 2 2009
Abstract :
We propose a human activity classification algorithm that has a distributed and lightweight implementation appropriate for wireless camera networks. With input from multiple cameras, our algorithm achieves invariance to the orientation of the actor and to the camera viewpoint. We conceptually describe how the algorithm can be implemented on a distributed architecture, obviating the need for centralized processing of the entire multi-camera data. The lightweight implementation is made possible by the very affordable memory and communication bandwidth requirements of the algorithm. Notwithstanding its lightweight nature, the performance of the algorithm is comparable to that of the earlier multi-camera approaches that are based on computationally expensive 3D human model construction, silhouette matching using reprojected 2D views, and so on. Our algorithm is based on multi-view spatio-temporal histogram features obtained directly from acquired images; no background subtraction is required. Results are analyzed for two publicly available multi-camera multi-action datasets. The system´s advantages relative to single camera techniques are also discussed.
Keywords :
cameras; image classification; image matching; solid modelling; 3D human model construction; distributed architecture; lightweight multicamera human activity classification; multiview spatio-temporal histogram; silhouette matching; wireless camera networks; Bandwidth; Biological system modeling; Cameras; Classification algorithms; Computer networks; Distributed computing; Graphical models; Hidden Markov models; Humans; Spatiotemporal phenomena;
Conference_Titel :
Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on
Conference_Location :
Como
Print_ISBN :
978-1-4244-4620-9
Electronic_ISBN :
978-1-4244-4620-9
DOI :
10.1109/ICDSC.2009.5289354