Co-occurrence Probability Pixel Pairs Background Model for Robust Object Detection in Dynamic Scenes

 

Publications & Codes

 

 

ADAPTIVE LOCAL SPATIAL MODELING FOR ONLINE CHANGE DETECTION UNDER ABRUPT DYNAMIC BACKGROUND  (Submitted to ICIP 2017) [CP3 with updating C language.zip] [cp3.zip] (Please mail to liangdong@nuaa.edu.cn for password)

 

CPB: A CO-OCCURRENCE PIXEL-BLOCK PAIRS BASED ROBUST OBJECT DETECTION IN SEVERE SCENES BY HYPOTHESIS-BASED MODIFICATION (Submitted to ICIP 2017) [CPB.zip] (Please mail to zhouwenjun@ssc.ssi.ist.hokudai.ac.jp for password)

 

Dong LIANG, Shun'ichi KANEKO, Manabu HASHIMOTO, Kenji IWATA, Xinyue ZHAO, Co-occurrence Probability-based Pixel Pairs Background Model for Robust Object Detection in Dynamic Scenes, Pattern Recognition, 48 (2015) 1370-1386. [CP3 object detection matlab.zip] (Please mail to liangdong@nuaa.edu.cn for password)

 

Dong Liang, Shun'ichi Kaneko, Manabu Hashimoto, Kenji Iwata, Xinyue Zhao, Yutaka Satoh, Co-occurrence-based Adaptive Background Model for Robust Object Detection, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp.401-406, Krak┏w, Poland, 27-30 Aug. 2013.

 

Xinyue ZHAO, Yutaka SATOH, Hidenori TAKAUJI, Shun'ichi KANEKO, Kenji IWATA, Ryushi OZAKI, Object Detection Based on a Robust and Accurate Statistical Multi-point-pair Model, Pattern Recognition, 44 (2011) 1296-1311.  [GAP.zip] (Please mail to zhaoxinyue@zju.edu.cn for password)

 

Xinyue ZhaoYutaka SatohHidenori Takauji, Shun'ichi Kaneko, Kenji IwataRyushi Ozaki: Robust adapted object detection under complex environment. AVSS 2011: 261-266