Analysis of anomaly detection in surveillance video: recent trends and future vision
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
In-vehicle monitoring by radar: A review
A Gharamohammadi, A Khajepour… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …
heightened focus on driving safety. As a result, various researchers have been examining …
Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression …
Automatic leaf disease detection techniques are effective for reducing the time-consuming
effort of monitoring large crop farms and early identification of disease symptoms of plant …
effort of monitoring large crop farms and early identification of disease symptoms of plant …
Hand gesture recognition for characters understanding using convex Hull landmarks and geometric features
With the latest advancements, hand gesture recognition is becoming an effective way of
communication and gaining popularity from a research point of view. Hearing impaired …
communication and gaining popularity from a research point of view. Hearing impaired …
[PDF][PDF] Robust hand gesture tracking and recognition for healthcare via Recurent neural network
H Ansar, J Ahmad - IBCAST, 2023 - researchgate.net
In the emerging fields of computer vision, robotics, and medicine, It's difficult to recognize
gestures in dynamic environment. For human-computer hand gesture tracking and …
gestures in dynamic environment. For human-computer hand gesture tracking and …
Challenges and solutions for vision-based hand gesture interpretation: A review
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
Domain adaptation with contrastive simultaneous multi-loss training for hand gesture recognition
Hand gesture recognition from images is a critical task with various real-world applications,
particularly in the field of human–robot interaction. Industrial environments, where non …
particularly in the field of human–robot interaction. Industrial environments, where non …
Learning a compact embedding for fine-grained few-shot static gesture recognition
Gesture recognition and its applications have been widely studied and received much
attention in recent years. Existing works on hand gesture recognition aim to train …
attention in recent years. Existing works on hand gesture recognition aim to train …
Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences
With an increasing number of people on the planet today, innovative human-computer
interaction technologies and approaches may be employed to assist individuals in leading …
interaction technologies and approaches may be employed to assist individuals in leading …
HGR-FYOLO: a robust hand gesture recognition system for the normal and physically impaired person using frozen YOLOv5
Hand gesture recognition is important in human-machine interaction (HMI), enabling
interaction with the systems without physically touching them. But current methodologies …
interaction with the systems without physically touching them. But current methodologies …