Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Eam Khwang Teoh"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2007 (2007)
This paper presents a novel approach for face recognition based on the fusion of the appearance and depth information at the match score level. We apply passive stereoscopy instead of active range scanning as popularly used by others. We show that pr
Externí odkaz:
https://doaj.org/article/0ed62f518816416691433778809b91ed
Publikováno v:
ICRAI
Deep learning is the current state-of-the-art technique for most machine learning and data analytics tasks. It has been applied to all aspects of human life. Traditional methods are not competitive for solving pedestrian trajectory prediction problem
Publikováno v:
2019 IEEE 5th International Conference on Mechatronics System and Robots (ICMSR).
Pedestrian motion are inherently multi-modal in nature influenced by presence of other human and physical objects in the environment. Traiectory prediction models need to address both human-human and human-space interaction issues. In this work, we l
Due to the nonholonomic constraints as well as the constraints on torque and power resources, it is challenging to design a controller to asymptotically stabilize a nonholonomic robot at a predefined pose. In this paper, a switched controller is intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e12f29043ba741803ac549ffc70c6a7
https://hdl.handle.net/10356/150845
https://hdl.handle.net/10356/150845
Publikováno v:
Neurocomputing. 149:364-372
Face image based age estimation is an approach to classify face images into one of several pre-defined age-groups. It is challenging because facial aging variation is specific to a given individual and is determined by the person's gene and many exte
Publikováno v:
APSIPA
Recognition of actions from videos is a difficult task due to several factors like dynamic backgrounds, occlusion, pose-variations observed. To tackle the pose variation problem, we propose a simple method based on a novel set of pose-invariant kinem
Affordance learning in general, is to identify the purpose, use, and ways to interact with an object, based on information gained from observing the object. Most of the existing affordance learning approaches assume the object target has been cropped
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342a8da89c48787c1c5178fd120859a3
https://hdl.handle.net/10356/142977
https://hdl.handle.net/10356/142977
Publikováno v:
IEEE Transactions on Human-Machine Systems. 44:650-663
Given a video sequence, the task of action recognition is to identify the most similar action among the action sequences learned by the system. Such human action recognition is based on evidence gathered from videos. It has wide application including
Publikováno v:
International Journal of Biometrics. 11:113
Action recognition from videos has many potential applications. However, there are many unresolved challenges, such as pose-invariant recognition, robustness to occlusion and others. In this paper, we propose to combine motion of body parts and pose
Publikováno v:
Machine Vision and Applications. 25:919-930
Humans process faces to recognize family resemblance and act accordingly. Undoubtedly, they are capable of recognizing their kin and family members. In this paper, we study the facts and valid assumptions of facial resemblance in family members' faci