Cattle identification based on multiple feature decision layer fusion
D Li, B Li, Q Li, Y Wang, M Yang, M Han - Scientific Reports, 2024 - nature.com
In farming scenarios, cattle identification has become a key issue for the development of
precision farming. In precision livestock farming, single-feature recognition methods are …
precision farming. In precision livestock farming, single-feature recognition methods are …
Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition
S Aggarwal, G Bhola, DK Vishwakarma - Multimedia Tools and …, 2024 - Springer
This research work aims to propose an ensemble model of different pre-trained CNN
networks combined with LSTM to detect a set of routine human activities practiced by the …
networks combined with LSTM to detect a set of routine human activities practiced by the …
XYZ-channel encoding and augmentation of human joint skeleton coordinates for end-to-end action recognition
Recognizing human actions from skeletal data is a major challenge, as it does not always
deliver optimal performance due to the limited ability to discern the spatio-temporal patterns …
deliver optimal performance due to the limited ability to discern the spatio-temporal patterns …
Development of a mathematical model for detecting moving objects in video streams in real-time
Z Mutalova, A Shaushenova, A Nurpeisova… - IEEE …, 2024 - ieeexplore.ieee.org
The development of mathematical models for detecting moving objects in real-time video
streams is a significant task, especially in light of the growing demands for security and …
streams is a significant task, especially in light of the growing demands for security and …
Abnormal Action Recognition in Social Media Clips Using Deep Learning to Analyze Behavioral Change
AA Gharahbagh, V Hajihashemi, MC Ferreira… - World Conference on …, 2024 - Springer
With the increasing popularity of social media platforms like Instagram, there is a growing
need for effective methods to detect and analyze abnormal actions in user-generated …
need for effective methods to detect and analyze abnormal actions in user-generated …
Camera Movement Cancellation in Video Using Phase Congruency and an FFT-Based Technique
AA Gharahbagh, V Hajihashemi, JJM Machado… - World Conference on …, 2023 - Springer
One of the interesting fields in video processing is motion detection and human action
detection (HAR) in video. In some applications where both objects in the scene and the …
detection (HAR) in video. In some applications where both objects in the scene and the …