Event detection have long been a fundamental problem in computer vision society. Various
datasets for recognizing human events and activities have been proposed to help …

In this paper, we present our eSur (Event detection system on SURveillance video) system,
which is derived from TRECVID'09 surveillance tasks. Currently, eSur attempts to detect two …

Accurate event detection in surveillance videos is one of the most challenging tasks in
computer vision since there is enormous noise produced by unwanted events. In this paper …

As an important branch of multimedia content analysis, Surveillance Event Detection (SED)
is still a quite challenging task due to high abstraction and complexity such as occlusions …

In this paper, we describe our eSur system and experiments performed for the surveillance
event detection task in TRECVID 2009. In the experiments, we addressed the detection …

We propose a video analysis system detecting activities in surveillance scenarios which
wins Trecvid Activities in Extended Video (ActEV 1) challenge 2019. For detecting and …

Since 2008, a variety of systems have been designed to detect events in security cameras.
There are also more than a hundred journal articles and conference papers published in this …

Event detection targets at recognizing and localizing specified spatio-temporal patterns in
videos. Most research of human activity recognition in the past decades experimented on …

Due to the popularity of security cameras in public places, it is of interest to design an
intelligent system that can efficiently detect events automatically. This paper proposes a …

This notebook paper summarizes Team NEC-UIUC's approaches for TRECVid 2009
Evaluation of Surveillance Event Detection. Our submissions include two types of systems …