@inproceedings{409124823bd4493ea61c6d71e2b4d71d,
title = "Unsupervised path modeling across multiple cameras with disjoint views for foreground object tracking",
abstract = "We present an unsupervised path modeling method to track foreground objects across multiple cameras with disjoint views. To avoid the training process in most approaches, our method imposes the camera topology graph to identify possible paths of foreground objects in the camera network. Then, with the appearance and temporal information, dynamic programming is applied to search an optimal path of a target foreground object with a given length of the path. The experimental results show that the proposed method can successfully track target objects across multiple cameras with disjoint views compared to the state-of-the-Art supervised methods.",
author = "Yang, {Di Kai} and Chung, {Pau Choo} and Huang, {Chun Rong}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 ; Conference date: 26-04-2014 Through 28-04-2014",
year = "2014",
month = nov,
day = "5",
doi = "10.1109/InfoSEEE.2014.6947853",
language = "English",
series = "Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1161--1165",
editor = "Xiaohong Jiang and Shaozi Li and Ying Dai and Yun Cheng",
booktitle = "Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014",
address = "United States",
}