TY - GEN
T1 - Multi-camera trajectory mining
T2 - 22nd International Conference on Pattern Recognition, ICPR 2014
AU - Hu, Yang
AU - Liao, Shengcai
AU - Yi, Dong
AU - Lei, Zhen
AU - Li, Stan Z.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - In recent years, large-scale video search and mining has been an active research area. Exploring the trajectory of pedestrian of interest in non-overlapping multi-camera network, namely the trajectory mining, is very useful for visual surveillance and criminal investigation. The trajectory mentioned in our work describes the transition of pedestrian among cameras from a macroscopic perspective which is different from the concept in conventional tracking field. In this paper, we collect a database called TMin to promote research and development of trajectory mining. This release of Version 1 contains 1680 images from 30 subjects, all the images are extracted from 6 surveillance videos over two hours, and each subject appears in at least two different cameras. We describe the apparatuses, environments and procedure of the data collection and present baseline performance on the TMin database.
AB - In recent years, large-scale video search and mining has been an active research area. Exploring the trajectory of pedestrian of interest in non-overlapping multi-camera network, namely the trajectory mining, is very useful for visual surveillance and criminal investigation. The trajectory mentioned in our work describes the transition of pedestrian among cameras from a macroscopic perspective which is different from the concept in conventional tracking field. In this paper, we collect a database called TMin to promote research and development of trajectory mining. This release of Version 1 contains 1680 images from 30 subjects, all the images are extracted from 6 surveillance videos over two hours, and each subject appears in at least two different cameras. We describe the apparatuses, environments and procedure of the data collection and present baseline performance on the TMin database.
UR - http://www.scopus.com/inward/record.url?scp=84919884196&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919884196&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2014.801
DO - 10.1109/ICPR.2014.801
M3 - Conference contribution
AN - SCOPUS:84919884196
T3 - Proceedings - International Conference on Pattern Recognition
SP - 4684
EP - 4689
BT - Proceedings - International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 August 2014 through 28 August 2014
ER -
