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The Scientific World Journal
Volume 2014, Article ID 196415, 8 pages
http://dx.doi.org/10.1155/2014/196415
Research Article

Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle

Graduate School of Electrical Engineering, University of Ulsan, Ulsan 680-749, Republic of Korea

Received 9 April 2014; Revised 7 June 2014; Accepted 8 June 2014; Published 10 July 2014

Academic Editor: Yu-Bo Yuan

Copyright © 2014 Joko Hariyono et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [19 citations]

The following is the list of published articles that have cited the current article.

  • Joko Hariyono, and Kang-Hyun Jo, “Detection of pedestrian crossing road using action classification model,” 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 21–24, . View at Publisher · View at Google Scholar
  • Ruijuan Chang, Rong Ding, Mengxiang Lin, Dechao Meng, Zeye Wu, and Meng Hang, “An experimental evaluation of balance strategy based obstacle avoidance,” 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1–6, . View at Publisher · View at Google Scholar
  • Xuesong Le, and Ruben Gonzalez, “Hybrid salient motion detection using temporal differencing and Kalman filter tracking with non-stationary camera,” 2017 IEEE International Conference on Image Processing (ICIP), pp. 3345–3349, . View at Publisher · View at Google Scholar
  • Ian Cornelius, James Shuttleworth, and Sandy Taramonli, “ A dynamic Markov model for n th -order movement prediction ,” 2017 4th International Conference on Systems and Informatics (ICSAI), pp. 430–436, . View at Publisher · View at Google Scholar
  • Joko Hariyono, Ajmal Shahbaz, Laksono Kurnianggoro, and Kang-Hyun Jo, “Estimation of collision risk for improving driver's safety,” IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, pp. 901–906, . View at Publisher · View at Google Scholar
  • Qingtian Wu, Huiwen Guo, Xinyu Wu, Shibo Cai, Tao He, and Wei Feng, “Real-time running detection from a moving camera,” 2016 IEEE International Conference on Information and Automation (ICIA), pp. 1370–1375, . View at Publisher · View at Google Scholar
  • Joko Hariyono, and Kang-Hyun Jo, “Detection of pedestrian crossing road,” 2015 IEEE International Conference on Image Processing (ICIP), pp. 4585–4588, . View at Publisher · View at Google Scholar
  • Joko Hariyono, Ajmal Shahbaz, and Kang-Hyun Jo, “Estimation of walking direction for pedestrian path prediction from moving vehicle,” 2015 IEEE/SICE International Symposium on System Integration (SII), pp. 750–753, . View at Publisher · View at Google Scholar
  • Joko Hariyono, Van-Dung Hoang, and Kang-Hyun Jo, “Location classification of detected pedestrian,” International Conference on Control, Automation and Systems, pp. 599–602, 2014. View at Publisher · View at Google Scholar
  • Joko Hariyono, Van-Dung Hoang, and Kang-Hyun Jo, “Human detection from omnidirectional camera using feature tracking and motion segmentation,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9012, pp. 329–338, 2015. View at Publisher · View at Google Scholar
  • Joko Hariyono, Van-Dung Hoang, Kang-Hyun Jo, Joko Hariyono, Van-Dung Hoang, and Kang-Hyun Jo, “Tracking Failure Detection Using Time Reverse Distance Error for Human Tracking,” Current Approaches In Applied Artificial Intelligence, vol. 9101, pp. 611–620, 2015. View at Publisher · View at Google Scholar
  • Joko Hariyono, Danilo Cáceres Hernández, and Kang-Hyun Jo, “Localization of pedestrian with respect to car speed,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9226, pp. 185–194, 2015. View at Publisher · View at Google Scholar
  • Oliver K. Hamilton, and Toby P. Breckon, “Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow,” Proceedings - International Conference on Image Processing, ICIP, vol. 2016-, pp. 3439–3443, 2016. View at Publisher · View at Google Scholar
  • Joko Hariyono, and Kang-Hyun Jo, “Centroid based pose ratio for pedestrian action recognition,” IEEE International Symposium on Industrial Electronics, vol. 2016-, pp. 895–900, 2016. View at Publisher · View at Google Scholar
  • Emna Fendri, Rania Rebai Boukhriss, and Mohamed Hammami, “Fusion of thermal infrared and visible spectra for robust moving object detection,” Pattern Analysis and Applications, 2017. View at Publisher · View at Google Scholar
  • Joko Hariyono, and Kang-Hyun Jo, “Detection of pedestrian crossing road: A study on pedestrian pose recognition,” Neurocomputing, vol. 234, pp. 144–153, 2017. View at Publisher · View at Google Scholar
  • Aiying Guo, Zhixiang He, and Meihua Xu, “Multi-channel feature for pedestrian detection,” Communications in Computer and Information Science, vol. 761, pp. 472–480, 2017. View at Publisher · View at Google Scholar
  • Hasil Park, Jinho Park, Heegwang Kim, Sung Lee, Kang-Ho Park, and Joonki Paik, “Hybrid Sensor Network-Based Indoor Surveillance System for Intrusion Detection,” Symmetry, vol. 10, no. 6, pp. 181, 2018. View at Publisher · View at Google Scholar
  • Wenjie Song, Yi Yang, Mengyin Fu, Fan Qiu, and Meiling Wang, “Real-Time Obstacles Detection and Status Classification for Collision Warning in a Vehicle Active Safety System,” IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 758–773, 2018. View at Publisher · View at Google Scholar