Multi-target tracking by learning local-to-global trajectory models

By Shun Zhang, Jinjun Wang, Zelun Wang, Yihong Gong, Yuehu Liu. 2015

63 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xiaopeng Hong
2. Xing Wei
3. Yihong Gong
4. Diangang Li
5. Han-Jia Ye
6. De-chuan Zhan
7. Christopher Kanan
8. Da-Wei Zhou

In Biomedical Engineering

1. Yihong Gong
2. Xing Wei
3. Diangang Li
4. Xiaopeng Hong

In Computer Vision and Pattern Recognition

1. Xiaopeng Hong
2. Xing Wei
3. Yihong Gong
4. Yuhang He
5. Diangang Li
6. Weiwei Shi
7. Han-Jia Ye
8. De-chuan Zhan

Citations in the corpus

• Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment (2020, background): “…can be written as: where η 1 is a weight parameter, ψ app ( · , · ) ∈ [ 0 , 1 ] and ψ mot ( · , · ) ∈ [ 0 , 1 ] are the similarity measurement functions that calculate the appearance similarity and motion consistency in the image plane based on the input sets using algorithms in [72], respectively.”
• Infrared-Visible Cross-Modal Person Re-Identification with an X Modality (2020, background): “Person re-identification (ReID) aims at identifying target persons in a query set from a large-scale gallery set captured by non-overlapping camera views (Zheng, Yang, and Hauptmann 2016; Zhang et al. 2015; Cheng et al. 2016).”