Results 251 to 260 of about 465,004 (290)

Pattern recognition and crowd analysis

Pattern Recognition Letters, 2014
The present collection is the result of a review process done on the contributions received in response to an open call for a thematic special issue dealing with pattern recognition and crowd analysis. Part of the submitted contributions are significantly extended versions of papers discussed at the first edition of the Workshop on “Pattern Recognition
Bandini S., Calderara S., Cucchiara R.
openaire   +3 more sources

Crowd Analysis and Its Applications

2011
Crowd is a unique group of individual or something involves community or society. The phenomena of the crowd are very familiar in a variety of research discipline such as sociology, civil and physic. Nowadays, it becomes the most active-oriented research and trendy topic in computer vision.
Amir Sjarif, N. N., Shamsuddin, Siti Mariyam, Mohd. Hashim, Siti Zaiton, Yuhaniz, Siti Sophiayati   +3 more
openaire   +2 more sources

Real-time crowd motion analysis

2008 19th International Conference on Pattern Recognition, 2008
Video-surveillance systems are becoming more and more autonomous in the detection and the reporting of abnormal events. In this context, this paper presents an approach to detect abnormal situations in crowded scenes by analyzing the motion aspect instead of tracking subjects one by one.
Nacim Ihaddadene, Chabane Djeraba
openaire   +1 more source

Crowd Energy and Feature Analysis

2007 IEEE International Conference on Integration Technology, 2007
Surveillance on pedestrian flows in crowded areas is of significance for various security tasks. This problem involves two parts: evaluation of crowdedness and detection of abnormality, where a lot of motion information needs to be studied. This paper defines a crowd energy to deal with crowd modeling and processing in the real-time surveillance.
Zhi Zhong, Weizhong Ye, Shengshu Wang, Ming Yang, Yangsheng Xu   +4 more
openaire   +1 more source

Social Crowds Using Transactional Analysis

2013
More and more applications are relying on simulated crowds to populate films, games, and architecture. Decades of work in this area have produced agents that deftly avoid collisions, but the crowds still look stiff and false because agents do not socialize naturally with each other.
Brian C. Ricks, Parris K. Egbert
openaire   +1 more source

Dynamic Analysis of Crowd Behavior

2011
In many cases, we cannot obtain the background image easily, and if the occlusion is serious, then it is difficult to segment masses of blobs into single blobs.We therefore use optical flow to detect abnormal behavior in crowded environments [57], [58].
Huihuan Qian, Xinyu Wu, Yangsheng Xu
openaire   +1 more source

Scale-aware CNN for crowd density estimation and crowd behavior analysis

Computers and Electrical Engineering, 2022
Vipul Sharma, Roohie Naaz, Chandrapal Singh   +2 more
openaire   +1 more source

Crowd risk analysis

2021
openaire   +1 more source

Enhanced Crowd Analysis Using YOLO

Crowd analysis plays a vital role in public safety, event management, and disaster prevention by enabling real-time monitoring and anomaly detection in densely populated areas. Deep learning-based object detection models, particularly the You Only Look Once (YOLO) family, have demonstrated remarkable efficiency in such applications.
Megha B Prathap, Scion S Vayalil, Varun Sankar R, Aparna S, Deepa A B   +4 more
openaire   +1 more source

A survey of crowd counting and density estimation based on convolutional neural network

Neurocomputing, 2022
Zheng Zhang, Guangming Lu, Yu-Dong Zhang
exaly