The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Clustering Based on Two Layers for Abnormal Event Detection in Video Surveillance
Abstract
Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from two well-known clustering algorithms: the agglomerative hierarchical clustering and the k-means clustering. Facing to the challenges related to the trajectories, e.g., different sizes, the authors introduce a preprocessing step to unify their sizes and reduce their dimensionality. The experimental results show the performance and accuracy of their proposed method.
Related Content
Guru Prasad M. S., Praveen Gujjar, H. N. Naveen Kumar, M. Anand Kumar, S. Chandrappa.
© 2023.
14 pages.
|
Bhawnesh Kumar, Ashwani Kumar, Harendra Singh Negi, Javed Alam.
© 2023.
15 pages.
|
Abhishek Kumar, Karan Singh.
© 2023.
21 pages.
|
Anuj Singh, Somjit Mandal, Kamlesh Chandra Purohit.
© 2023.
21 pages.
|
Muthumanikandan Vanamoorthy.
© 2023.
13 pages.
|
Janmejay Pant, Rakesh Kumar Sharma, Himanshu Pant, Devendra Singh, Durgesh Pant.
© 2023.
11 pages.
|
Siddhardha Kollabathini.
© 2023.
9 pages.
|
|
|