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Abnormal event detection and localisation in traffic videos based on group sparse topical coding
P Ahmadi, M Tabandeh, I Gholampour - IET Image Processing, 2016 - Wiley Online Library
In visual surveillance, detecting and localising abnormal events are of great interest. In this
study, an unsupervised method is proposed to automatically discover abnormal events …
study, an unsupervised method is proposed to automatically discover abnormal events …
A new method for traffic density estimation based on topic model
R Kaviani, P Ahmadi… - 2015 Signal Processing …, 2015 - ieeexplore.ieee.org
Traffic density estimation plays an integral role in intelligent transportation systems (ITS),
using which provides important information for signal control and effective traffic …
using which provides important information for signal control and effective traffic …
Modeling traffic motion patterns via non-negative matrix factorization
Analyzing motion patterns in traffic videos can directly lead to generate some high-level
descriptions of the video content. In this paper, an unsupervised method is proposed to …
descriptions of the video content. In this paper, an unsupervised method is proposed to …
Union of low‐rank subspaces detector
The problem of signal detection using a flexible and general model is considered. Owing to
applicability and flexibility of sparse signal representation and approximation, it has attracted …
applicability and flexibility of sparse signal representation and approximation, it has attracted …
Analyzing multiple types of behaviors from traffic videos via nonparametric topic model
Intelligent video surveillance systems have garnered substantial research attention in recent
years within the transportation surveillance field. The systems can assist in identifying …
years within the transportation surveillance field. The systems can assist in identifying …
Temporal segmentation of traffic videos based on traffic phase discovery
In this paper, the topic model is adopted to learn traffic phases from video sequence. Phase
detection is applied to determine where a video clip is in the traffic light sequence. Each …
detection is applied to determine where a video clip is in the traffic light sequence. Each …
Beyond bag-of-words: An improved Sparse Topical Coding for learning motion patterns in traffic scenes
P Ahmadi, M Tabandeh… - 2015 9th Iranian …, 2015 - ieeexplore.ieee.org
Analyzing motion patterns in traffic videos can directly generate some high-level
descriptions of the video content which can be further employed in rule mining and …
descriptions of the video content which can be further employed in rule mining and …