Multiple Pedestrian Tracking Using Colour and Motion Models. - Zhengqiang Jiang; Du Q. Huynh; William Moran 001; Subhash Challa; Nick Spadaccini (DICTA, 2010)

Tracking pedestrians using smoothed colour histograms in an interacting multiple model framework. - Zhengqiang Jiang; Du Q. Huynh; William Moran 001; Subhash Challa (ICIP, 2011)

Combining background subtraction and temporal persistency in pedestrian detection from static videos. - Zhengqiang Jiang; Du Q. Huynh; William Moran 001; Subhash Challa (ICIP, 2013)

Tracking multiple pedestrians through detection failures in videos. - Zhengqiang Jiang; Benlian Xu (ICCAIS, 2015)

A Novel Multiobject Tracking Approach in the Presence of Collision and Division. - Mingli Lu; Benlian Xu; Andong Sheng; Zhengqiang Jiang; Liping Wang 010; Peiyi Zhu; Jian Shi (Comput. Math. Methods Medicine, 2015)

Combining sparse appearance and Bayesian inference models for object tracking. - Zhengqiang Jiang; Benlian Xu; Shengrong Gong (ICCAIS, 2016)

Part-Based Data Association for Visual Tracking. - Zhengqiang Jiang; Du Q. Huynh; Jian Zhang 002; Qiang Wu 001 (DICTA, 2017)

Automated tracking approach with ant colonies for different cell population density distribution. - Mingli Lu; Benlian Xu; Zhengqiang Jiang; Andong Sheng; Peiyi Zhu; Jian Shi (Soft Comput., 2017)

Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework. - Zhengqiang Jiang; Du Q. Huynh (IEEE Trans. Image Process., 2018)

How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. - Zhengqiang Jiang; Phuong Dung Trieu; Ziba Gandomkar; Seyedamir Tavakoli Taba; Melissa L. Barron; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2023)