Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

Semantic video analysis and automatic concept extraction play an important role in several
applications; including content-based search engines, video indexing, and video …

Abstract Intelligent Visual Surveillance is an important and challenging research field of
image processing and computer vision. To prevent the ecological and economical losses …

Indoor human-carried object detection refers to the use of technologies and methods to
detect objects that may be carried by individuals in indoor environments. This can include …

This encyclopedia, edited by the deputy director of the National Science Foundation's
Division of Information and Intelligent Systems, compiles 186 articles on the maturing field of …

The success of deformable part-based models (DPMs) for visual object detection relies on a
large number of labeled bounding boxes. With only image-level annotations, our goal is to …

An abandoned object detection system is presented and evaluated using benchmark
datasets. The detection is based on a simple mathematical model and works efficiently at …

Detection of stationary foreground objects (ie, moving objects that remain static throughout
several frames) has attracted the attention of many researchers over the last decades and …

In recent years, video-surveillance has undergone a vertiginous development due to the
increasing concern about security and crime prevention. The wide use of video surveillance …

This paper describes a video surveillance system aimed at the automatic identification of
events of interest, especially of abandoned and stolen objects in a guarded indoor …