TY - GEN
T1 - Research on high resolution & high sensitivity panoramic surveillance system
AU - Zhang, Zhenhai
AU - Li, Kejie
AU - Hu, Bo
AU - Pu, Bo
AU - Li, Jiyang
AU - Jiang, Zijie
AU - Liu, Mengying
AU - Li, Tao
AU - Liu, Xudong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/8
Y1 - 2014/10/8
N2 - Catadioptric panoramic vision systems have been widely used in many fields because of their advantages such as a wide field of view, integrated imaging, and rotational symmetry. They also play a very important role in the monitoring of unmanned platforms. However, the resolution of catadioptric panoramic vision systems is not very high, usually less than 5 million pixels at present. Even if the resolution is greater than 5 million pixels, the unwrapping and rectification of these images is carried out off-line. Further, the systems are also deployed in a stationary or near-stationary state. This paper proposes an unwrapping and rectification method for a high-resolution catadioptric panoramic vision system that can be used while moving. It can segment dynamic circular mark regions from panoramic videos accurately, determine the center coordinates of circular images in real time, eliminate the processing of unwanted video regions, and shorten the image processing time. In addition, the center coordinates and radius of the circular mark regions are obtained simultaneously so that the image distortion caused by inaccurate center coordinates is reduced. The method uses radial and decentering distortion parameters and a correction factor for fitting a polynomial to rectify the panoramic video without distortion.
AB - Catadioptric panoramic vision systems have been widely used in many fields because of their advantages such as a wide field of view, integrated imaging, and rotational symmetry. They also play a very important role in the monitoring of unmanned platforms. However, the resolution of catadioptric panoramic vision systems is not very high, usually less than 5 million pixels at present. Even if the resolution is greater than 5 million pixels, the unwrapping and rectification of these images is carried out off-line. Further, the systems are also deployed in a stationary or near-stationary state. This paper proposes an unwrapping and rectification method for a high-resolution catadioptric panoramic vision system that can be used while moving. It can segment dynamic circular mark regions from panoramic videos accurately, determine the center coordinates of circular images in real time, eliminate the processing of unwanted video regions, and shorten the image processing time. In addition, the center coordinates and radius of the circular mark regions are obtained simultaneously so that the image distortion caused by inaccurate center coordinates is reduced. The method uses radial and decentering distortion parameters and a correction factor for fitting a polynomial to rectify the panoramic video without distortion.
UR - http://www.scopus.com/inward/record.url?scp=84909951621&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2014.6918660
DO - 10.1109/AVSS.2014.6918660
M3 - Conference contribution
AN - SCOPUS:84909951621
T3 - 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014
SP - 154
EP - 158
BT - 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014
Y2 - 26 August 2014 through 29 August 2014
ER -