A combined multiple action recognition and summarization for surveillance video sequences
Human action recognition and video summarization represent challenging tasks for several
computer vision applications including video surveillance, criminal investigations, and sports …
computer vision applications including video surveillance, criminal investigations, and sports …
In object detection deep learning methods, YOLO shows supremum to Mask R-CNN
Deep learning concept and algorithm play a pivotal role in solving various complicated
problems such as playing games, forecasting economic future values, detecting objects in …
problems such as playing games, forecasting economic future values, detecting objects in …
Deep learning approach for human action recognition using a time saliency map based on motion features considering camera movement and shot in video image …
A Alavigharahbagh, V Hajihashemi, JJM Machado… - Information, 2023 - mdpi.com
In this article, a hierarchical method for action recognition based on temporal and spatial
features is proposed. In current HAR methods, camera movement, sensor movement …
features is proposed. In current HAR methods, camera movement, sensor movement …
Towards an end-to-end isolated and continuous deep gesture recognition process
R Mahmoud, S Belgacem, MN Omri - Neural Computing and Applications, 2022 - Springer
Behavior recognition in video sequences is an interesting task in the computer vision field.
Human action recognition, allows machines to analyze and comprehend several human …
Human action recognition, allows machines to analyze and comprehend several human …
[Retracted] An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
MJ Ibrahim, J Kainat, H AlSalman… - Applied Bionics and …, 2022 - Wiley Online Library
Recent advances in image processing and machine learning methods have greatly
enhanced the ability of object classification from images and videos in different applications …
enhanced the ability of object classification from images and videos in different applications …
Home surveillance system using computer vision and convolutional neural network
In this paper, we introduce a home surveillance system that utilizes computer vision
techniques to recognize intrusions and detailed threat information including classifying types …
techniques to recognize intrusions and detailed threat information including classifying types …
Object Detection on Scene Images: A Novel Approach
K Das, AK Baruah - Procedia Computer Science, 2023 - Elsevier
Abstract Convolutional Neural Networks (CNN) have played an important contribution to the
significant development of Computer Vision. An important aspect can be the recognition of …
significant development of Computer Vision. An important aspect can be the recognition of …
Human object detection by HoG, HoB, HoC and BO features
For several decades researchers around the globe have been avidly investigating practical
solutions to the enduring problem of understanding visual content within an image. We have …
solutions to the enduring problem of understanding visual content within an image. We have …
Optimal Features Selection for Human Activity Recognition (HAR) System Using Deep Learning Architectures
One exciting area within computer vision is classifying human activities, which has diverse
applications like medical informatics, human-computer interaction, surveillance, and task …
applications like medical informatics, human-computer interaction, surveillance, and task …
A Novel Parameter Initialization Technique Using RBM‐NN for Human Action Recognition
D Roselind Johnson… - Computational Intelligence …, 2020 - Wiley Online Library
Human action recognition is a trending topic in the field of computer vision and its allied
fields. The goal of human action recognition is to identify any human action that takes place …
fields. The goal of human action recognition is to identify any human action that takes place …