Sports broadcasters generate enormous amount of video content viewed all over the world.
In this paper, we propose to use the deep learning technique for abnormal event detection by extracting spatiotemporal features from video sequences.
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras - GitHub - chandrikadeb7/ ...
A common approach in literature for dimensionality reduction is to build the bag-of-words on the top of pre-defined traffic keywords.
Abnormal event detection has attracted widespread attention due to its importance in video surveillance scenarios.
Accidental fall detection for the elderly who live alone can minimize the risk of death and injuries.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning - GitHub - abhineet123/Deep-Learning-for-Tracking-an Collection of papers,
Existing Android malware detection methods use multiple features, like safety
Among the widespread examples of big data, the role of video streams from CCTV cameras is equally important as other sources like ...
Our approach: event detection based on open information extraction and ontology.