Appearance information is used to estimate the per- son orientation and update the classifier with reliable motion direction. The online classifier update strategy extracts reli- able motion information to update the appearance-based clas- sifier, which can greatly enhance self-adaptation ability.
Online person orientation estimation based on classifier update. Abstract: Person orientation estimation is valuable for intelligent video surveillance.
[14] use cues like HOG descriptors, velocity direction and the presence of face to estimate the person orientation and combine three different classifiers to do ...
A novel orientation estimation approach based on online appearance-based classifier update is proposed, which achieves more competitive performances ...
ONLINE PERSON ORIENTATION ESTIMATION BASED ON CLASSIFIER UPDATE. Author: Liu, Hong. Ma, Liqian. Keywords: Science & Technology, Technology, Engineering ...
We present a novel approach for the joint estimation of a person's overall body orientation, 3D shape and texture, from overlapping cameras.
The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their ...
Online person orientation estimation based on classifier update. H Liu, L Ma. 2015 IEEE International Conference on Image Processing (ICIP), 1568-1572, 2015.
In this paper we consider the problem of classifying people spatial orientation with respect to the camera viewpoint from 2D images.
Oct 4, 2023 · Pose Estimation is a computer vision technique to predict and track the location of a person or object. List of use cases and architectures.