Methods of real-time spatio-temporal activity detection and categorization from untrimmed video segmentsMethods of detecting and categorizing an action in an untrimmed video segment regardless of the scale of the action and the close proximity of other actions. The methods improve upon the prior art ...
Efficient spatio-temporal network for action recognition. J Real-Time Image Proc 21, 158 (2024). https://doi.org/10.1007/s11554-024-01541-6 Download citation Received03 July 2024 Accepted15 August 2024 Published23 August 2024 DOIhttps://doi.org/10.1007/s11554-024-01541-6 Keywords Spatio-...
This work describes an end-to-end approach for real-time human action recognition from raw depth image-sequences. The proposal is based on a 3D fully convolutional neural network, named 3DFCNN, which automatically encodes spatio-temporal patterns from raw depth sequences. The described 3D-CNN a...
We propose a real-time framework that can accurately detect, track and predict the intended actions of pedestrians based on a tracking-by-detection technique in conjunction with a novel spatio-temporal DenseNet model. We trained and evaluated our framework based on real data collected from urban ...
extent and severity. This is, to our knowledge, the first surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary practices so as to enable real-time detection of spatially and temporally localised changes in reporting patterns across the ...
Our proposed method reaches real-time computation for the first time (up to 38 FPS). Introduction Current spatio-temporal action localization methods focus on processing untrimmed, multi-target videos rely on the popular object detection frameworks [1]. Usually, these localization methods perform ...
Spatio-Temporal Analysis for Human Action Detection and Recognition in Uncontrolled Environments Understanding semamtic meaning of human actions ca Y Van,D Liu,G Zhao,... - 《International Journal of Multimedia Data Engineering & Management》 被引量: 32发表: 2015年 加载更多来源...
We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation, classification and early prediction. Current state-of-the-art approaches work offline and are too slow to be useful in real- world set... G Singh,S Saha,F Cuzzolin 被引量: 49发表: 2016...
The current deep learning based spatio-temporal action localization methods that using motion information (predominated is optical flow) obtain the state-o... D Zhang,L He,Z Tu,... - 《Pattern Recognition》 被引量: 0发表: 2020年 A Real-time Running Detection System for UAV Imagery based ...
Real-time 2D Human Pose Estimation (HPE) constitutes a pivotal undertaking in the realm of computer vision, aiming to quickly infer the spatiotemporal arrangement of human keypoints, such as the head, shoulders, arms, and legs, from images or video frames and subsequently deduce their poses, ...