Hierarchical character oriented wildlife species recognition through heterogeneous wireless sensor networks

D. Duran; D. Peng; H. Sharif; B. Chen; Doug Armstrong; IEEE

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Conference proceeding

Hierarchical character oriented wildlife species recognition through heterogeneous wireless sensor networks

D. Duran, D. Peng, H. Sharif, B. Chen, Doug Armstrong and IEEE

2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, p.1532

01/01/2007

Abstract

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

This paper proposes a new tiered heterogeneous Wireless image sensor network for real-time unobtrusive species detection and video cataloguing based on a new HIerarchically Scalarized - Character Oriented DEtection (MS-CODE) algorithm and architecture. An experimented test bed has been set up at the Omaha Henry Doorly Zoo, and data collected over wireless network from this test bed has been processed and classified based on the proposed HIS-CODE. This work contributes to a novel integration in wireless sensor networks with the in-network distributed image recognition functionality, especially with the consideration of wildlife species image recognitions.

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Title: Hierarchical character oriented wildlife species recognition through heterogeneous wireless sensor networks
Creators - without role: D. Duran - University of Nebraska–Lincoln
D. Peng - University of Nebraska–Lincoln
H. Sharif - University of Nebraska–Lincoln
B. Chen - University of Nebraska–Lincoln
Doug Armstrong - Henry Doorly Zoo, Omaha, NE USA
IEEE
Publication Details: 2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, p.1532
Publisher: IEEE
Number of pages: 2
Identifiers: 9932576608331
Academic Unit: University Ha'il
Language: English
Resource Type: Conference proceeding