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- Borislav Antic, Björn Ommer
- 2011 International Conference on Computer Vision
- 2011
Detecting abnormalities in video is a challenging problem since the class of all irregular objects and behaviors is infinite and thus no (or by far not enough) abnormal training samples are… (More)
- Borislav Antic, Dragan Letic, Dubravko Culibrk, Vladimir S. Crnojevic
- 2009 16th IEEE International Conference on Image…
- 2009
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Upon the initial… (More)
- Borislav Antic, Björn Ommer
- ACCV
- 2012
Multiple-instance learning consists of two alternating optimization steps: learning a classifier with missing labels and finding the missing labels with the classifier. These steps are iteratively… (More)
- Vladimir S. Crnojevic, Borislav Antic, Dubravko Culibrk
- 2009 16th IEEE International Conference on Image…
- 2009
In real-world surveillance systems, where variation of light and camera parameters can sometimes severely impair the normal operation of background subtraction algorithms, better results are obtained… (More)
- Borislav Antic, Björn Ommer
- ECCV
- 2014
The collective activity of a group of persons is more than a mere sum of individual person actions, since interactions and the context of the overall group behavior have crucial influence.… (More)
- Borislav Antic, Vladimir S. Crnojevic, Dubravko Culibrk
- 2009 16th International Conference on Digital…
- 2009
Moving object detection in video sequences presents an important problem in computer vision. If a video sequence is generated by a stationary video camera, one usually attempts to build a statistical… (More)
- Dubravko Culibrk, Vladimir S. Crnojevic, Borislav Antic
- 2009 16th International Conference on Digital…
- 2009
A new multiscale approach to motion based segmentation of objects in video sequences is presented. While image features extracted at multiple scales are commonly used within the pattern recognition… (More)
- Borislav Antic, Björn Ommer
- 2015 IEEE International Conference on Computer…
- 2015
Object, action, or scene representations that are corrupted by noise significantly impair the performance of visual recognition. Typically, partial occlusion, clutter, or excessive articulation… (More)
Building an efficient and robust system capable of working in harsh real world conditions represents the ultimate goal of the traffic video surveillance. Despite an evident progress made in the area… (More)
Prediction of agricultural yields is a challenging task that demands fusion of knowledge from different areas such as data mining, statistics and agriculture. This paper shows that data mining… (More)