Multiple object tracking: A literature review
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …
and commercial potential. Although different approaches have been proposed to tackle this …
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
The majority of existing solutions to the Multi-Target Tracking (MTT) problem do not combine
cues over a long period of time in a coherent fashion. In this paper, we present an online …
cues over a long period of time in a coherent fashion. In this paper, we present an online …
Continuous energy minimization for multitarget tracking
Many recent advances in multiple target tracking aim at finding a (nearly) optimal set of
trajectories within a temporal window. To handle the large space of possible trajectory …
trajectories within a temporal window. To handle the large space of possible trajectory …
Computer vision based crowd disaster avoidance system: A survey
B Yogameena, C Nagananthini - International journal of disaster risk …, 2017 - Elsevier
Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …
and promising topics due to the increase of people gatherings in public places where the …
Multi-target tracking using CNN-based features: CNNMTT
In this paper, we focus mainly on designing a Multi-Target Object Tracking algorithm that
would produce high-quality trajectories while maintaining low computational costs. Using …
would produce high-quality trajectories while maintaining low computational costs. Using …
Vision-based analysis of small groups in pedestrian crowds
W Ge, RT Collins, RB Ruback - IEEE transactions on pattern …, 2012 - ieeexplore.ieee.org
Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking,
and inspired by sociological models of human collective behavior, we automatically detect …
and inspired by sociological models of human collective behavior, we automatically detect …
Identifying behaviors in crowd scenes using stability analysis for dynamical systems
A method is proposed for identifying five crowd behaviors (bottlenecks, fountainheads,
lanes, arches, and blocking) in visual scenes. In the algorithm, a scene is overlaid by a grid …
lanes, arches, and blocking) in visual scenes. In the algorithm, a scene is overlaid by a grid …
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
We describe an online approach to learn non-linear motion patterns and robust appearance
models for multi-target tracking in a tracklet association framework. Unlike most previous …
models for multi-target tracking in a tracklet association framework. Unlike most previous …
Human behavior analysis in video surveillance: A social signal processing perspective
The analysis of human activities is one of the most intriguing and important open issues for
the automated video surveillance community. Since few years ago, it has been handled …
the automated video surveillance community. Since few years ago, it has been handled …
Analyzing tracklets for the detection of abnormal crowd behavior
This paper presents a novel video descriptor, referred to as Histogram of Oriented Track lets,
for recognizing abnormal situation in crowded scenes. Unlike standard approaches that use …
for recognizing abnormal situation in crowded scenes. Unlike standard approaches that use …