An overview of Human Action Recognition in sports based on Computer Vision
Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
Not only look, but also listen: Learning multimodal violence detection under weak supervision
Violence detection has been studied in computer vision for years. However, previous work
are either superficial, eg, classification of short-clips, and the single scenario, or …
are either superficial, eg, classification of short-clips, and the single scenario, or …
Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Recently, develo** automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …
ensure the security and safety of the population, especially during events involving large …
RWF-2000: an open large scale video database for violence detection
In recent years, surveillance cameras are widely deployed in public places, and the general
crime rate has been reduced significantly due to these ubiquitous devices. Usually, these …
crime rate has been reduced significantly due to these ubiquitous devices. Usually, these …
Learning to detect violent videos using convolutional long short-term memory
Develo** a technique for the automatic analysis of surveillance videos in order to identify
the presence of violence is of broad interest. In this work, we propose a deep neural network …
the presence of violence is of broad interest. In this work, we propose a deep neural network …
Unified keypoint-based action recognition framework via structured keypoint pooling
This paper simultaneously addresses three limitations associated with conventional
skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the …
skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Violence detection using spatiotemporal features with 3D convolutional neural network
The worldwide utilization of surveillance cameras in smart cities has enabled researchers to
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …