On integration of multiple features for human activity recognition in video sequences
Human activity recognition has become one of the most active areas of research in computer
vision, due to its increasing demand in many automated monitoring applications such as …
vision, due to its increasing demand in many automated monitoring applications such as …
Integration of moment invariants and uniform local binary patterns for human activity recognition in video sequences
In this study, we present a method for human activity recognition in video sequences.
Human activities are often described by a holistic feature vector comprising of a set of local …
Human activities are often described by a holistic feature vector comprising of a set of local …
Amateur football analytics using computer vision
P Mavrogiannis, I Maglogiannis - Neural Computing and Applications, 2022 - Springer
In recent years, there has been an interest in visual sports analytics, and especially in player
and ball detection, action recognition, and camera pose estimation in various sports. The …
and ball detection, action recognition, and camera pose estimation in various sports. The …
Multiresolution approach for multiple human detection using moments and local binary patterns
Human detection is a central problem in development of any surveillance application. In this
study, we present a simple and efficient, multi-resolution gray scale invariant approach for …
study, we present a simple and efficient, multi-resolution gray scale invariant approach for …
Learning discriminative shape statistics distribution features for pedestrian detection
Discriminative feature plays an important role in object detection system and traditional
tactics heavily depends on the hand-designed feature. Recent study shows that feature can …
tactics heavily depends on the hand-designed feature. Recent study shows that feature can …
[PDF][PDF] Baggage recognition in occluded environment using boosting technique
Abstract Automatic Video Surveillance System (AVSS) has become important to computer
vision researchers as crime has increased in the twenty-first century. As a new branch of …
vision researchers as crime has increased in the twenty-first century. As a new branch of …
Towards classification based human activity recognition in video sequences
Recognizing human activities is an important component of a context aware system. In this
paper, we propose a classification based human activity recognition approach. This …
paper, we propose a classification based human activity recognition approach. This …
A face recognition based biometric solution in education
In last years, several biometric modalities are coming back into the field of education.
Especially, face recognition modality that allows authenticating humans based on their facial …
Especially, face recognition modality that allows authenticating humans based on their facial …
Towards intelligent human behavior detection for video surveillance
Computer vision techniques are capable of detecting human behavior from video
sequences. Several state-of-the-art techniques have been proposed for human behavior …
sequences. Several state-of-the-art techniques have been proposed for human behavior …
Evolutionary multiple instance boosting framework for weakly supervised learning
Multiple instance boosting (MILBoost) is a framework which uses multiple instance learning
(MIL) with boosting technique to solve the problems regarding weakly labeled inexact data …
(MIL) with boosting technique to solve the problems regarding weakly labeled inexact data …