Estimation of Human Body Orientation Using Histogram of Oriented Gradients
نویسندگان
چکیده
Estimation of human orientation is considered a key configuration to study and understand human behaviours. There have been many works focusing on this. However, most of previous works are sensor-based technologies but visual-based technologies. In this paper, we proposed a method to estimate the orientation of human in a given image patch. We have observed the performance of a feature called Histogram of Oriented Gradients (HOG) on human detection and found the sensitivity of this feature in in-plane rotation. It is so sensitive that it could be used in classifying images of rotated and non-rotated human body. Therefore we have drawn an idea to exploit a modified HOG descriptor with ’bin shifting’ technique to estimate the orientation of human. The results show that the proposed method can effectively estimate the orientation of human pose inside an image with fast and simple additional operations required.
منابع مشابه
Estimation of Human Orientation using Coaxial RGB-Depth Images
Estimation of human orientation contributes to improving the accuracy of human behavior recognition. However, estimation of human orientation is a challenging task because of the variable appearance of the human body. The wide variety of poses, sizes and clothes combined with a complicated background degrades the estimation accuracy. Therefore, we propose a method for estimating human orientati...
متن کاملVisual Tracking using Learning Histogram of Oriented Gradients by SVM on Mobile Robot
The intelligence of a mobile robot is highly dependent on its vision. The main objective of an intelligent mobile robot is in its ability to the online image processing, object detection, and especially visual tracking which is a complex task in stochastic environments. Tracking algorithms suffer from sequence challenges such as illumination variation, occlusion, and background clutter, so an a...
متن کاملHigh-speed object matching and localization using gradient orientation features
In many robotics and automation applications, it is often required to detect a given object and determine its pose (position and orientation) from input images with high speed, high robustness to photometric changes, and high pose accuracy. We propose a new object matching method that improves efficiency over existing approaches by decomposing orientation and position estimation into two cascad...
متن کاملLower Body Pose Estimation in Team Sports Videos Using Label-Grid Classifier Integrated with Tracking-by-Detection
We propose a human lower body pose estimation method for team sport videos, which is integrated with tracking-by-detection technique. The proposed Label-Grid classifier uses the grid histogram feature of the tracked window from the tracker and estimates the lower body joint position of a specific joint as the class label of the multiclass classifiers, whose classes correspond to the candidate j...
متن کاملHuman Body Detection using Histogram of Oriented Gradients and SVM
Human detection is a challenging task in many fields because it is difficult to detect humans due to their variable appearance and posture. Detecting humans accurately is the first fundamental step for many computer vision applications such as video surveillance, smart vehicles, intersection traffic analysis and so on. This paper consists of efficient human detection in static images using Hist...
متن کامل