Development of intelligent surveillance system (ISS) in region of interest (ROI) using Kalman filter and camshift on Raspberry Pi 2

Junghun Park; Kicheon Hong

doi:10.1117/12.2280347

19 June 2017 Development of intelligent surveillance system (ISS) in region of interest (ROI) using Kalman filter and camshift on Raspberry Pi 2

Junghun Park, Kicheon Hong

Author Affiliations +

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104431B (2017) https://doi.org/10.1117/12.2280347
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

Abstract

Due to the improvement of the picture quality of closed-circuit television (CCTV), the demand for CCTV has increased rapidly and its market size has also increased. The current system structure of CCTV transfers compressed images without analysis received from CCTV to a control center. The compressed images are suitable for the evidence required for a criminal arrest, but they cannot prevent crime in real time, which has been considered a limitation. Thus, the present paper proposes a system implementation that can prevent crimes by applying a situation awareness system at the back end of the CCTV cameras for image acquisition to prevent crimes efficiently. In the system implemented in the present paper, the region of interest (ROI) is set virtually within the image data when a barrier, such as fence, cannot be installed in actual sites and unauthorized intruders are tracked constantly through data analysis and recognized in the ROI via the developed algorithm. Additionally, a searchlight or alarm sound is activated to prevent crime in real time and the urgent information is transferred to the control center. The system was implemented in the Raspberry Pi 2 board to be run in real time. The experiment results showed that the recognition success rate was 85% or higher and the track accuracy was 90% or higher. By utilizing the system, crime prevention can be achieved by implementing a social safety network.

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Junghun Park and Kicheon Hong "Development of intelligent surveillance system (ISS) in region of interest (ROI) using Kalman filter and camshift on Raspberry Pi 2", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104431B (19 June 2017); https://doi.org/10.1117/12.2280347

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KEYWORDS

Detection and tracking algorithms

Filtering (signal processing)

Intelligence systems

Surveillance systems

Algorithm development

Imaging systems

RGB color model

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