Small moving targets detection using outlier detection algorithms

Natasa Reljin; Samantha McDaniel; Dragoljub Pokrajac; Nebojsa Pejcic; Tia Vance; Aleksandar Lazarevic; Longin Jan Latecki

doi:10.1117/12.850550

15 April 2010 Small moving targets detection using outlier detection algorithms

Natasa Reljin, Samantha McDaniel, Dragoljub Pokrajac, Nebojsa Pejcic, Tia Vance, Aleksandar Lazarevic, Longin Jan Latecki

Author Affiliations +

Proceedings Volume 7698, Signal and Data Processing of Small Targets 2010; 769804 (2010) https://doi.org/10.1117/12.850550
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Recent research in motion detection has shown that various outlier detection methods could be used for efficient detection of small moving targets. These algorithms detect moving objects as outliers in a properly defined attribute space, where outlier is defined as an object distinct from the objects in its neighborhood. In this paper, we compare the performance of two incremental outlier detection algorithms, namely the incremental connectivity-based outlier factor and the incremental local outlier factor to modified Stauffer-Grimson algorithm. Each video sequence is represented with spatial-temporal blocks extracted from the raw video. Principal component analysis (PCA) is applied on these blocks in order to reduce the dimensionality of extracted data. Extensive experiments performed on several data sets, including infrared sequences from OSU Thermal Pedestrian Database repository, and data collected at Delaware State University from FLIR Systems PTZ cameras have shown promising results in using outlier detection for detection of small moving targets.

Citation Download Citation

Natasa Reljin, Samantha McDaniel, Dragoljub Pokrajac, Nebojsa Pejcic, Tia Vance, Aleksandar Lazarevic, and Longin Jan Latecki "Small moving targets detection using outlier detection algorithms", Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 769804 (15 April 2010); https://doi.org/10.1117/12.850550

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