Adaptive Change Detection for Real-Time Surveillance Applications
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Detecting Abandoned Packages in a Multi-Camera Video Surveillance System
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Classification of Unattended and Stolen Objects in Video-Surveillance System
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
A Multiscale Parametric Background Model for Stationary Foreground Object Detection
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Robust abandoned object detection using dual foregrounds
EURASIP Journal on Advances in Signal Processing
Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms
AVSS '08 Proceedings of the 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance
A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling
AVSS '08 Proceedings of the 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance
Detection of temporarily static regions by processing video at different frame rates
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Stationary objects in multiple object tracking
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Detection of abandoned objects in crowded environments
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Detecting and recognizing abandoned objects in crowded environments
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Statistical modeling of complex backgrounds for foreground object detection
IEEE Transactions on Image Processing
Computer Vision and Image Understanding
Journal of Signal Processing Systems
Robust abandoned object detection integrating wide area visual surveillance and social context
Pattern Recognition Letters
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In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles,the detection of stationary foreground objects is a critical task. In the literature, many algorithms have been proposed that deal with the detection of stationary foreground objects, the majority of them based on background subtraction techniques. In this paper we discuss various stationary object detection approaches comparing them in typical surveillance scenarios (extracted from standard datasets). Firstly, the existing approaches based on background-subtraction are organized into categories. Then, a representative technique of each category is selected and described. Finally, a comparative evaluation using objective and subjective criteria is performed on video surveillance sequences selected from the PETS 2006 and i-LIDS forAVSS 2007 datasets, analyzing the advantages and drawbacks of each selected approach.