TY - GEN
T1 - Design of a wireless vision sensor for object tracking in wireless vision sensor networks
AU - Casares, Mauricio
AU - Can Vuran, Mehmet
AU - Velipasalar, Senem
PY - 2008
Y1 - 2008
N2 - The integration of CMOS cameras with embedded processors and wireless communication devices has enabled the development of distributed wireless vision systems. Wireless Vision Sensor Networks (WVSNs), which consist of wirelessly connected embedded systems with vision and sensing capabilities, provide wide variety of application areas that have not been possible to realize with the wall-powered vision systems with wired links or scalar-data based wireless sensor networks. In this paper, the design of a middleware for a wireless vision sensor node is presented for the realization of WVSNs. The implemented wireless vision sensor node is tested through a simple vision application to study and analyze its capabilities, and determine the challenges in distributed vision applications through a wireless network of low-power embedded devices. The results of this paper highlight the practical concerns for the development of efficient image processing and communication solutions for WVSNs and emphasize the need for cross-layer solutions that unify these two so-far-independent research areas.
AB - The integration of CMOS cameras with embedded processors and wireless communication devices has enabled the development of distributed wireless vision systems. Wireless Vision Sensor Networks (WVSNs), which consist of wirelessly connected embedded systems with vision and sensing capabilities, provide wide variety of application areas that have not been possible to realize with the wall-powered vision systems with wired links or scalar-data based wireless sensor networks. In this paper, the design of a middleware for a wireless vision sensor node is presented for the realization of WVSNs. The implemented wireless vision sensor node is tested through a simple vision application to study and analyze its capabilities, and determine the challenges in distributed vision applications through a wireless network of low-power embedded devices. The results of this paper highlight the practical concerns for the development of efficient image processing and communication solutions for WVSNs and emphasize the need for cross-layer solutions that unify these two so-far-independent research areas.
KW - Background subtraction
KW - Cross-layer design
KW - Foreground detection
KW - Salient motion
KW - Wireless Vision Sensor Network (WVSN) middleware
KW - Wireless vision sensor node
UR - http://www.scopus.com/inward/record.url?scp=57349092450&partnerID=8YFLogxK
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U2 - 10.1109/ICDSC.2008.4635736
DO - 10.1109/ICDSC.2008.4635736
M3 - Conference contribution
AN - SCOPUS:57349092450
SN - 9781424426652
T3 - 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
BT - 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
T2 - 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
Y2 - 7 September 2008 through 11 September 2008
ER -