A novel algorithm for abandoned object detection

Abandoned object detection is a crucial problem in many computer vision tasks. Traditional method based on foreground/background extraction techniques leads to a high false alarm rate. In this paper, we propose a novel detection algorithm based on change detection and blob separation. Our proposed approach suits more practical scenarios in which objects located near each other. Experiments are conducted on several well-known benchmarks to validate the efficacy of the algorithm proposed in this paper.

[1]  Rubén Heras Evangelio,et al.  Detection of static objects for the task of video surveillance , 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

[2]  Yi-Ping Hung,et al.  Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance , 2015, IEEE Transactions on Information Forensics and Security.

[3]  Eduardo A. B. da Silva,et al.  Abandoned object detection using operator-space pursuit , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[4]  Hong Liu,et al.  Robust abandoned object detection and analysis based on online learning , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[5]  Chathura De Silva,et al.  Abandoned object detection with logical reasoning , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[6]  Zhang Qin,et al.  An Abandoned Object Detection System Based on Dual Background and Motion Analysis , 2012, 2012 International Conference on Computer Science and Service System.

[7]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[8]  Sharath Pankanti,et al.  Relative Attributes for Large-Scale Abandoned Object Detection , 2013, 2013 IEEE International Conference on Computer Vision.

[9]  Rogério Schmidt Feris,et al.  Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Sharath Pankanti,et al.  Robust abandoned object detection using region-level analysis , 2011, 2011 18th IEEE International Conference on Image Processing.

[11]  Sharath Pankanti,et al.  Modeling of temporarily static objects for robust abandoned object detection in urban surveillance , 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).