Spatio-Temporal Vector (STV) (11 papers)
D. Pokrajac, L. Latecki, “Spatiotemporal Blocks-Based Moving Objects Identification and Tracking”, IEEE Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS 2003, October 2003.
L. Latecki, R. Miezianko, D. Pokrajac, “Motion Detection Based on Local Variation of Spatiotemporal Texture”, CVPR Workshop on Object Tracking and Classification Beyond the Visible Spectrum, CVPR 2004, Washington, July 2004.
V. Zeljkovic, D. Pokrajac, L. Latecki, “Noise-Robust Spatial-Temporal Algorithm for Moving Object Detection”, ETRAN, ETRAN 2005, 2005.
D. Pokrajac, V. Zeljkovic, L. Latecki, “Noise-Resilient Detection of Moving Objects Based on Spatial-Temporal Blocks”, International Symposium ELMAR focused on Multimedia Systems and Applications, ELMAR 2005, Zadar, Croatia, June 2005.
L. Latecki, R. Miezianko, D. Pokrajac, “Activity and Motion Detection Based on Measuring Texture Change”, International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2005, LNAI 3587, pages 476 – 486, Leipzig, Germany, July 2005.
L. Latecki, R. Miezianko, D. Pokrajac, “Activity and Motion Detection Based on Measuring Texture Change", Industrial Conference on Data Mining, ICDM 2005, Leipzig, 2005.
D. Pokrajac, V. Zeljkovic, L. Latecki ,”Spatial-Temporal Algorithm for Moving Objects Detection in Infra Red Video Sequences”, International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, TELSIKS 2005, Nis, Serbia, September 2005.
L. Latecki, R. Miezianko, V. Megalooikonomou, D. Pokrajac, “Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video”, International Journal of Intelligent Systems Technologies and Applications, IJISTA 2006, 2006.
R. Miezianko, D. Pokrajac, “Texture Dissimilarity Measures for Background Change Detection”, ICIAR 2008: pages 680-687, 2008.
R. Miezianko, D. Pokrajac, “Multi-layer Background Change Detection Based on Spatiotemporal Texture Projections”, ICCVG 2008, pages 282-291, 2008.
N. Pejcic, N. Reljin, S. McDaniel, D. Pokrajac, A. Lazarevic, “Detection of moving objects using incremental connectivity outlier factor algorithm”, ACM Conference SE, 2009.
N. Reljin, S. McDaniel, D. Pokrajac, N. Pejcic, T. Vance, A. Lazarevic, L. Latecki, “Small Moving Targets Detection Using Outlier Detection Algorithms”, SPIE 2010, 2010
Spatio-Temporal Texture (STT) (2 papers)
R. Yumiba, M. Miyoshi, H. Fujiyoshi, “Moving Object Detection with Background Model based on Spatio-Temporal Texture”, IEEE Winter Vision Meetings,WACV 2011, pages 352-359,January 2011.
R. Yumiba, M. Miyoshi, H. Fujiyoshi, Y. Murai, "Moving Object Detection with Background Model based on Spatio-Temporal Texture", Journal, J94-D, pages 1101-1112, 2011.
Spatio-temporal Features (SPF) (3 papers)
Y. Nonaka, A. Shimada, H. Nagahara, R. Taniguchi, “Evaluation Report of Integrated Background Modeling Based on Spatio-temporal Features”, IEEE Workshop on Change Detection, 2012.
T. Tanaka, A. Shimada, R. Taniguchi, T. Yamashita, D. Arita, “Towards robust object detection: integrated background modeling based on spatio-temporal features”, Asian Conference on Computer Vision, ACCV 2009, Xi’an, China, September 2009.
T. Tanaka, A. Shimada, D. Arita, R. Taniguchi, “Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features”, Pattern Recognition and Media Understanding, PRMU 2009, Tohoku Institute of Technology, Japan, March 2009. In Japanese.