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Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]

Front Robot AI
Alexander A, Vangaveeti VNS, Venkatesan K, Mounsef J, Ramanujam K.   +4 more
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Use of lethal weapons to kill protesters by Bangladesh police: A discussion analyzing 253 deaths of July 24 revolution. [PDF]

Dialogues Health
Siddik MAB, Islam MS, Hussen SM, Syfullah MK.   +3 more
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AI-driven real-time responsive design of urban open spaces based on multi-modal sensing data fusion. [PDF]

Sci Rep
Liu X.
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A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology. [PDF]

Sensors (Basel)
Gu X, Li C, Gao L, Niu X.
europepmc   +1 more source

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Crowd Behavior Analysis: A Survey

2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), 2017
Nowadays, one of the most interesting and active research topic in computer vision is the analysis of crowd behavior. Crowd is a set of individuals gathered in a particular physical area. Analyzing crowd behavior involves many ways viz., crowd density estimation, crowd motion detection, crowd tracking and crowd behavior recognition.
Swathi H.Y., G. Shivakumar, H.S. Mohana
openaire   +1 more source

Crowd Behavior Analysis using Snap Map

Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, 2019
Location-Based Social Networks (LBSNs) have been used in many applications including crowd estimation and event detection. Snapchat is an LBSN that offers real-time activity monitoring around the world through its Snap Map using aggregation of user-submitted snaps.
Najwa Alghamdi, Nora Alrajebah, Shiroq Al-Megren   +2 more
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Hybrid Feature-Assisted Neural Model for Crowd Behavior Analysis

SN Computer Science, 2021
The exponential rise in technology and allied applications has always revitalized academia industries to achieve more efficient and robust solution to meet contemporary demands. Surveillance systems have always been the dominant area which has grabbed the attention of the scientific community to enable real-time events or target’s characterization to ...
H. Y. Swathi, G. Shivakumar
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Dynamic detection of anomalies in crowd's behavior analysis

2015 4th International Conference on Electrical Engineering (ICEE), 2015
The analysis of the human behavior from video is a wide field of the vision by computer. In this work we are interested in the analysis of the crowd behavior and its entities in a dense scene. These scenes are characterized by the presence of a great number of people in the camera's field of vision.
H. Chebi, D. Acheli
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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