Human action recognition using 3D pose data has gained a growing interest in the field of computer robotic interfaces and pattern recognition since the availability of hardware to capture human pose. In this paper, we propose a fast, simple, and powerful method of human action recognition based on human kinematic similarity. The key to this method is that the action descriptor consists of joints position, angular velocity and angular acceleration, which can meet the different individual sizes and eliminate the complex normalization. The angular parameters of joints within a short sliding time window (approximately 5 frames) around the current frame are used to express each pose frame of human action sequence. Moreover, three modified KNN (k...
We address action recognition in videos by modeling the spatial-temporal structures of human poses. ...
International audienceOver the last few decades, human action recognition has become one of the most...
In this paper, we have to propose an effective approach for the Human activity recognition in the re...
Abstract Human action analysis based on 3D imaging is an emerging topic. This paper presents an appr...
Abstract. In this paper, a real-time tracking-based approach to human action recognition is proposed...
Abstract. Action recognition from 3d pose data has gained increasing attention since the data is rea...
Action recognition from 3d pose data has gained increasing attention since the data is readily avail...
In this research work, we proposed a most effective noble approach for Human activity recognition i...
Human action recognition is a very challenging problem due to numerous variations in each body part....
International audienceRecognizing human actions in 3D video sequences is an important open problem t...
This paper presents a unified framework for recognizing human action in video using human pose estim...
Action recognition using RGB-D cameras is a popular research topic. Recognising actions in a pose-in...
In this research work, we propose a method for human action recognition based on the combination of ...
Abstract — In this paper, we propose an effective method to recognize human actions using 3D skeleto...
Action recognition plays an important role in various applications, including smart homes and person...
We address action recognition in videos by modeling the spatial-temporal structures of human poses. ...
International audienceOver the last few decades, human action recognition has become one of the most...
In this paper, we have to propose an effective approach for the Human activity recognition in the re...
Abstract Human action analysis based on 3D imaging is an emerging topic. This paper presents an appr...
Abstract. In this paper, a real-time tracking-based approach to human action recognition is proposed...
Abstract. Action recognition from 3d pose data has gained increasing attention since the data is rea...
Action recognition from 3d pose data has gained increasing attention since the data is readily avail...
In this research work, we proposed a most effective noble approach for Human activity recognition i...
Human action recognition is a very challenging problem due to numerous variations in each body part....
International audienceRecognizing human actions in 3D video sequences is an important open problem t...
This paper presents a unified framework for recognizing human action in video using human pose estim...
Action recognition using RGB-D cameras is a popular research topic. Recognising actions in a pose-in...
In this research work, we propose a method for human action recognition based on the combination of ...
Abstract — In this paper, we propose an effective method to recognize human actions using 3D skeleto...
Action recognition plays an important role in various applications, including smart homes and person...
We address action recognition in videos by modeling the spatial-temporal structures of human poses. ...
International audienceOver the last few decades, human action recognition has become one of the most...
In this paper, we have to propose an effective approach for the Human activity recognition in the re...