Skip to main navigation Skip to search Skip to main content

A Pedestrian-pedestrian and pedestrian-vehicle interaction motion model for pedestrians tracking

  • Hao Sheng
  • , Shukai Liu*
  • , Hengshan Ji
  • , Jiahui Chen
  • , Zhang Xiong
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a pedestrian-pedestrian and pedestrian-vehicle interaction motion model for predicting the motion of the pedestrians and tracking pedestrians in traffic scene mixed with cars. Pedestrians’ motion in such scenes are often complex and highly correlated with both pedestrians and vehicles nearby. What’s more, vehicles and pedestrians running together will bring in long occlusions, what will make great challenge for tracking objects in long period. An interaction motion model combined with a path model is proposed to handle the sudden motion change and long occlusions. Experiments on real traffic scene sequences show the effectiveness of our method.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings
EditorsGeorge Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven M. Drucker, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, Mark Carlson
PublisherSpringer Verlag
Pages270-280
Number of pages11
ISBN (Electronic)9783319142487
DOIs
StatePublished - 2014
Event10th International Symposium on Visual Computing, ISVC 2014 - Las Vegas, United States
Duration: 8 Dec 201410 Dec 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8887
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Visual Computing, ISVC 2014
Country/TerritoryUnited States
CityLas Vegas
Period8/12/1410/12/14

Fingerprint

Dive into the research topics of 'A Pedestrian-pedestrian and pedestrian-vehicle interaction motion model for pedestrians tracking'. Together they form a unique fingerprint.

Cite this