Acta Photonica Sinica, Volume. 51, Issue 3, 0310005(2022)
Nested Elliptical Spatio-temporal Tubes for Fast Motion Segment Extraction in Surveillance Videos
[2] Yibin WANG, Jia ZHENG, Zhuowen LV et al. Traffic monitoring image dehazing algorithm based on wavelengthrelated physical imaging model. Acta Photonica Sinica, 48, 0910004(2019).
[4] Yapei WANG, Renwang LI, Xiang LIU. Extraction method of surveillance video synopsis combines objects and keyframes. Industrial Control Computer, 28, 11-13(2015).
[5] Jingjing QU, Yunhong XIN. Combined continuous frame difference with backgound difference method for moving object detection. Acta Photonica Sinica, 43, 219-226.
[7] Jing JIN, Jianwu DANG, Fengwen ZHAI et al. Moving target detection based on KDE combining local texture feature. Journal of Jilin University(Engineering and Technology Edition), 49, 647-655(2019).
[10] Junming LIU, Weihua MENG. Infrared small target detection based on fully convolutional neural network and visual saliency. Acta Photonica Sinica, 49, 0710003(2020).
[12] Yunzuo ZHANG, Wenxuan LI, Panliang YANG. Surveillance video motion segments segmentation based on spatio-temporal flow. Laser & Optoelectronics Progress, 59, 0810012(2022).
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Yunzuo ZHANG, Kaina GUO, Zhaoquan CAI, Wenxuan LI. Nested Elliptical Spatio-temporal Tubes for Fast Motion Segment Extraction in Surveillance Videos[J]. Acta Photonica Sinica, 2022, 51(3): 0310005
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Received: Sep. 27, 2021
Accepted: Nov. 2, 2021
Published Online: Apr. 8, 2022
The Author Email: ZHANG Yunzuo (zhangyunzuo888@sina.com)