A novel pedestrian classification algorithm for a high definition dual camera 360 degrees surveillance system

In this paper a novel integrated multi-camera video-sensor (panoramic scene analysis - PSA) system is proposed for surveillance applications. In the proposed set-up, an omnidirectional imaging device is used in conjunction with a pan, tilt, zoom (PTZ) camera. In particular, the catadioptric sensor i...

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Bibliographic Details
Published inIEEE International Conference on Image Processing 2005 Vol. 3; pp. III - 880
Main Authors Scotti, G., Cuocolo, A., Coelho, C., Marchesotti, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Cameras
Classification algorithms
Mirrors
Monitoring
Object detection
Robustness
Sensor phenomena and characterization
Sensor systems
Target tracking
Video surveillance
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Summary:In this paper a novel integrated multi-camera video-sensor (panoramic scene analysis - PSA) system is proposed for surveillance applications. In the proposed set-up, an omnidirectional imaging device is used in conjunction with a pan, tilt, zoom (PTZ) camera. In particular, the catadioptric sensor is calibrated and used in order to track and classify every single moving object within its 360-degree field of view. Classification is achieved by an innovative algorithm taking advantages from polar image and pedestrian geometrical properties. This approach greatly simplifies classification procedures and enhances target detection and locating system capabilities.
ISBN:9780780391345
0780391349
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2005.1530533