Current Challenges and Techniques: Computer Vision, Deep Learning, and Machine Learning for Crime Prevention in Smart Cities
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 16 November 2024 | Viewed by 1500
Special Issue Editors
Interests: deep learning; machine learning; video analysis; image processing; computer vision
Interests: computer vision; human behaviour understanding; video analysis; multimodal learning
Special Issue Information
Dear Colleagues,
Human across the globe lives have become more comfortable as a result of advancements in technology, used in adapting machine intelligence and deep learning-based techniques, together with the increased number of installed surveillance cameras. The purpose of these cameras is to monitor human activities and enable object detection, video recognition, protection of human assets, and identifying the state of certain actions via CCTV footage to prevent crimes and the occurrence of avoid abnormal events. However, along with these cameras, the involvement of humans in camera-based monitoring has also risen and is becoming increasingly costly and problematic to intelligently manage. An automatic system for such monitoring of activities will ease the detection and recognition of ongoing events. The main objective of detecting these events is to reduce crime rates and create a more secure and safe environment.
Topics of interest include but are not limited to:
- Computer vision in forensics
- Biometrics for security
- Monitoring of activity, interaction and/or intention from videos
- Egocentric vision for surveillance
- Detection, tracking and recognition
- Activity recognition
- Analysis of abnormal activities
- AI-assisted technologies for security
- Violence detection
Dr. Fath U Min Ullah
Dr. Estefanía Talavera
Prof. Dr. Nuno Gonçalves
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- image processing
- deep learning
- machine learning
- crime prevention
- surveillance videos
