File Download
Supplementary

Conference Paper: Fast trajectory matching using small binary images

TitleFast trajectory matching using small binary images
Authors
KeywordsTrajectory Matching
Video Surveillance
Image Processing
Issue Date2013
Citation
The 3rd International Conference on Multimedia Technology (ICMT 2013), Guangzhou, China, 29 November-1 December 2013. How to Cite?
AbstractThis paper proposes a new trajectory matching method using logic operations on binary images. By using small binary images we are able to effectively utilize the large word size offered in modern CPU architectures, resulting in a very efficient evaluation of similarities between trajectories. The efficiency is caused by the fact that all bits in the same word are processed in parallel. Representing trajectories as small binary images has other advantages, such as a low space requirement and good noise resistance. The proposed method is evaluated on a publicly available dataset, and is compared to the more sophisticated Longest Common Subsequence (LCSS) method. In addition, synthetic experiments show the good efficiency and accuracy of the proposed method, enabling real time trajectory retrieval on databases with millions of trajectories.
Persistent Identifierhttp://hdl.handle.net/10722/189619

 

DC FieldValueLanguage
dc.contributor.authorZhuo, Wen_US
dc.contributor.authorSchnieders, Den_US
dc.contributor.authorWong, KKYen_US
dc.date.accessioned2013-09-17T14:50:21Z-
dc.date.available2013-09-17T14:50:21Z-
dc.date.issued2013en_US
dc.identifier.citationThe 3rd International Conference on Multimedia Technology (ICMT 2013), Guangzhou, China, 29 November-1 December 2013.en_US
dc.identifier.urihttp://hdl.handle.net/10722/189619-
dc.description.abstractThis paper proposes a new trajectory matching method using logic operations on binary images. By using small binary images we are able to effectively utilize the large word size offered in modern CPU architectures, resulting in a very efficient evaluation of similarities between trajectories. The efficiency is caused by the fact that all bits in the same word are processed in parallel. Representing trajectories as small binary images has other advantages, such as a low space requirement and good noise resistance. The proposed method is evaluated on a publicly available dataset, and is compared to the more sophisticated Longest Common Subsequence (LCSS) method. In addition, synthetic experiments show the good efficiency and accuracy of the proposed method, enabling real time trajectory retrieval on databases with millions of trajectories.-
dc.languageengen_US
dc.relation.ispartof3rd International Conference on Multimedia Technology, ICMT 2013en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectTrajectory Matching-
dc.subjectVideo Surveillance-
dc.subjectImage Processing-
dc.titleFast trajectory matching using small binary imagesen_US
dc.typeConference_Paperen_US
dc.identifier.emailZhuo, W: matata@hku.hken_US
dc.identifier.emailSchnieders, D: scdirk@hku.hken_US
dc.identifier.emailWong, KKY: kykwong@cs.hku.hken_US
dc.identifier.authoritySchnieders, D=rp01834en_US
dc.description.naturepostprint-
dc.identifier.hkuros221067en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats