Motion Projection for Floating Object Detection

Abstract. Floating mines are a significant threat to the safety of ships in theatres of military or terrorist conflict. Automating mine detection is difficult, due to the unpredictable environment and high requirements for robustness and accuracy. In this paper, a floating mine detection algorithm using motion analysis methods is proposed. The algorithm aims to locate suspicious regions in the scene using contrast and motion information, specifically regions that exhibit certain predefined motion patterns. Throughput of the algorithm is improved with a parallel pipelined data flow. Moreover, this data flow enables further computational performance improvements though special hardware such as field programmable gate arrays (FPGA) or Graphics Processing Units (GPUs). Experimental results show that this algorithm is able to detect mine regions in the video with reasonable false positive and minimum false negative rates.

• Type: Conference
• Year: 2007
• Where: ISVC
• Authors: Zhaoyi Wei, Dah-Jye Lee, David Jilk, Robert B. Schoenberger
• Keywords: Algorithm, Certain Predefined Motion, Data Flow, ISVC 2007