Author(s)

Mouhammad K. Al Akkoumi, Robert C. Huck, James J. Sluss

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With an overwhelming number of containers entering the United States on a daily basis, ports of entry are causing major concerns for homeland security. The disruption to commerce to inspect all containers would be prohibitive. Currently, fences and port security patrols protect these container storage yards. To improve security system performance, the authors propose a low cost fully distributed Intelligent Transportation System based implementation. Based on prior work accomplished in the design and fielding of a similar system in the United States, current technologies can be assembled, mixed and matched, and scaled to provide a comprehensive security system. We also propose the incorporation of a human detection algorithm to enhance standard security measures. The human detector is based on the histogram of oriented gradients detec- tion approach and the Haar-like feature detection approach. According to the conducted experimental results, merging the two detectors, results in a human detector with a high detection rate and lower false posi- tive rate. This system allows authorized operators on any console to control any device within the facility and monitor restricted areas at any given time.

Human Detection, Port Security, Smart Surveillance System

Akkoumi, M. , Huck, R. and Sluss, J. (2011) A Personnel Detection Algorithm for an Intermodal Maritime Application of ITS Technology for Security at Port Facilities. Journal of Transportation Technologies, 1, 123-131. doi: 10.4236/jtts.2011.14016.