Paper
21 July 2000 Recent advances in distributed collaborative surveillance
Mahesh Saptharishi, K. Bhat, Christopher P. Diehl, C. Spence Oliver, Marios Savvides, Alvaro Soto, John M. Dolan, Pradeep K. Khosla
Author Affiliations +
Abstract
In Carnegie Mellon University's CyberScout project, we are developing mobile and stationary sentries capable of autonomous reconnaissance and surveillance. In this paper, we describe recent advances in the areas of efficient perception algorithms (detection, classification, and correspondence) and mission planning. In detection, we have achieved improved rejection of camera jitter and environmental variations (e.g., lighting, moving foliage) through multi-modal filtering, and we have implemented panoramic backgrounding through pseudo-real-time mosaicing. In classification, we present methods for discriminating between individual, groups of individuals, and vehicles, and between individuals with and without backpacks. In correspondence, we describe an accurate multi-hypothesis approach based on both motion and appearance. Finally, in mission planning, we describe mapbuilding using multiple sensory cues and a computationally efficient decentralized planner for multiple platforms.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahesh Saptharishi, K. Bhat, Christopher P. Diehl, C. Spence Oliver, Marios Savvides, Alvaro Soto, John M. Dolan, and Pradeep K. Khosla "Recent advances in distributed collaborative surveillance", Proc. SPIE 4040, Unattended Ground Sensor Technologies and Applications II, (21 July 2000); https://doi.org/10.1117/12.392568
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Surveillance

Sensors

Cameras

Detection and tracking algorithms

Autoregressive models

Neural networks

Reconnaissance

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