Abandoned Object Detection using Temporal Consistency Modeling

Robust Abandoned Object Detection Using Dual Foregrounds

As an alternative to the tracking-based approaches that heavily depend on accurate detection of moving objects, which often fail for crowded scenarios, we present a pixelwise method that employs dual foregrounds to extract temporally static image regions. Depending on the application, these regions indicate objects that do not constitute the original background but were brought into the scene a...

Survey on Abandoned Object Detection

In recent years due to various kind of social activities such as theft, bomb attack and other terrorist attack preventive security measures at public places has gained lot of importance. Abandoned Object detection is most crucial task in visual surveillance system. Many Public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens...

Abandoned Object Detection on Controlled Scenes Using Kinect

This paper presents a new approach for the detection of abandoned objects in partially controlled environments using images from a low cost depth sensor. To reach this goal, we propose a systems which involves: (i) a two phase object segmentation based on 3D points clustering, (ii) an object selection based on permanence and object dimensions and, finally, (iii) a state machine monitoring capab...

A Real Time Abandoned Object Detection and Addressing using IoT

Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency

This paper proposes a novel approach that detects and tracks carried objects by modelling the person-carried object relationship that is characteristic of the carry event. In order to detect a generic class of carried objects, we propose the use of geometric shape models, instead of using pre-trained object class models or solely relying on protrusions. In order to track the carried objects, we...