Human body posture recognition algorithm for still images
نویسندگان
چکیده
منابع مشابه
Facial descriptors for human interaction recognition in still images
This paper presents a novel approach in a rarely studied area of computer vision: Human interaction recognition in still images. We explore whether the facial regions and their spatial configurations contribute to the recognition of interactions. In this respect, our method involves extraction of several visual features from the facial regions, as well as incorporation of scene characteristics ...
متن کاملModel-based Recognition of Human Posture using Single Synthetic Images
Model-based vision has been predominantly concerned with the recognition of single component, rigid objects. This paper describes work attempting to recover the 3D structure of a multi-component, highly articulated object the human body. A major goal of this research has been to go beyond the level of basic object recognition, and attempt to reach a semantic level of description regarding the o...
متن کاملHuman Body Posture Recognition Using MPEG-7 Descriptors
This paper presents a novel approach to human body posture recognition based on the MPEG-7 contour-based shape descriptor and the widely used projection histogram. A combination of them was used to recognize the main posture and the view of a human based on the binary object mask obtained by the segmentation process. The recognition is treated as a typical pattern recognition task and is carrie...
متن کاملHuman Emotion Detection and Recognition from Still Images
For the interaction among human and machine communication systems, extraction and understanding of Emotion is of high importance. The most expressive way to display the human’s emotion is through facial expression analysis. Facial expression is an important channel for human communication and can be applied in many real applications. This paper presents and implements the detection and recognit...
متن کاملHuman Body Posture Inference for Immersive Interaction
In this paper we present an approach for inferring the body posture from a 3D visual-hull representation. We present an appearancebased, view-independent, 3D shape description for classifying and identifying human posture using a support vector machine. The proposed global representation allows a robust description of shape that accommodates for variation of the shape of the human body across m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2020
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2019.1146