Digital tripwire: a small automated human detection system

Amber D. Fischer; Emmett Redd; A. Steven Younger

doi:10.1117/12.819231

5 May 2009 Digital tripwire: a small automated human detection system

Amber D. Fischer, Emmett Redd, A. Steven Younger

Proceedings Volume 7333, Unattended Ground, Sea, and Air Sensor Technologies and Applications XI; 733314 (2009) https://doi.org/10.1117/12.819231
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

A low cost, lightweight, easily deployable imaging sensor that can dependably discriminate threats from other activities within its field of view and, only then, alert the distant duty officer by transmitting a visual confirmation of the threat would provide a valuable asset to modern defense. At present, current solutions suffer from a multitude of deficiencies - size, cost, power endurance, but most notably, an inability to assess an image and conclude that it contains a threat. The human attention span cannot maintain critical surveillance over banks of displays constantly conveying such images from the field. DigitalTripwire is a small, self-contained, automated human-detection system capable of running for 1-5 days on two AA batteries. To achieve such long endurance, the DigitalTripwire system utilizes an FPGA designed with sleep functionality. The system uses robust vision algorithms, such as a partially unsupervised innovative backgroundmodeling algorithm, which employ several data reduction strategies to operate in real-time, and achieve high detection rates. When it detects human activity, either mounted or dismounted, it sends an alert including images to notify the command center. In this paper, we describe the hardware and software design of the DigitalTripwire system. In addition, we provide detection and false alarm rates across several challenging data sets demonstrating the performance of the vision algorithms in autonomously analyzing the video stream and classifying moving objects into four primary categories - dismounted human, vehicle, non-human, or unknown. Performance results across several challenging data sets are provided.

Citation Download Citation

Amber D. Fischer, Emmett Redd, and A. Steven Younger "Digital tripwire: a small automated human detection system", Proc. SPIE 7333, Unattended Ground, Sea, and Air Sensor Technologies and Applications XI, 733314 (5 May 2009); https://doi.org/10.1117/12.819231

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KEYWORDS

Video

Sensors

Cameras

Detection and tracking algorithms

Target detection

Video processing

Photovoltaics

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