Intelligent distributed surveillance systems: a review
M Valera, SA Velastin - IEE Proceedings-Vision, Image and Signal Processing, 2005 - IET
This survey describes the current state-of-the-art in the development of automated visual
surveillance systems so as to provide researchers in the field with a summary of progress …
surveillance systems so as to provide researchers in the field with a summary of progress …
Survey of maps of dynamics for mobile robots
Robotic mapping provides spatial information for autonomous agents. Depending on the
tasks they seek to enable, the maps created range from simple 2D representations of the …
tasks they seek to enable, the maps created range from simple 2D representations of the …
A survey on visual surveillance of object motion and behaviors
Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one
of the most active research topics in computer vision. It has a wide spectrum of promising …
of the most active research topics in computer vision. It has a wide spectrum of promising …
Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach
BT Morris, MM Trivedi - IEEE transactions on pattern analysis …, 2011 - ieeexplore.ieee.org
Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …
effective methods to utilize and manage the massive resulting amounts of visual data are …
A survey of vision-based trajectory learning and analysis for surveillance
BT Morris, MM Trivedi - … transactions on circuits and systems for …, 2008 - ieeexplore.ieee.org
This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …
describes techniques that use trajectory data to define a general set of activities that are …
TraClass trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, ie, model construction for predicting the class labels of moving
objects based on their trajectories and other features, has many important, real-world …
objects based on their trajectories and other features, has many important, real-world …
A system for learning statistical motion patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior
prediction. Current approaches for the analysis of motion patterns depend on known scenes …
prediction. Current approaches for the analysis of motion patterns depend on known scenes …
Probabilistic Kalman filter for moving object tracking
F Farahi, HS Yazdi - Signal Processing: Image Communication, 2020 - Elsevier
Kalman filter has been successfully applied to tracking moving objects in real-time
situations. However, the filter cannot take into account the existing prior knowledge to …
situations. However, the filter cannot take into account the existing prior knowledge to …
Similarity based vehicle trajectory clustering and anomaly detection
In this paper, we proposed a hierarchical clustering framework to classify vehicle motion
trajectories in real traffic video based on their pairwise similarities. First raw trajectories are …
trajectories in real traffic video based on their pairwise similarities. First raw trajectories are …
Online learning and sequential anomaly detection in trajectories
R Laxhammar, G Falkman - IEEE transactions on pattern …, 2013 - ieeexplore.ieee.org
Detection of anomalous trajectories is an important problem in the surveillance domain.
Various algorithms based on learning of normal trajectory patterns have been proposed for …
Various algorithms based on learning of normal trajectory patterns have been proposed for …