In this paper, we present a text detection and localization method. Our detection technique is based on a cascade of boosted ensemble and localizer uses standard image processing ...
Shehzad Muhammad Hanif, Lionel Prevost, Pablo Negr...
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
Recognizing texts from camera images is a known hard problem because of the difficulties in text segmentation from the varied and complicated backgrounds. In this paper, we propo...
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
A cost-sensitive extension of Real Adaboost denoted as asymmetric Real Adaboost(RAB) is proposed. The two main differences between Asymmetric RAB and the na¨ıve RAB are (1) a Ch...
A lot of image analysis problems lend themselves to a unified mathematical formulation as optimization problems. Tree-serial dynamic programming is a particular case of the so-cal...
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with class...
In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for lowresolution face recognition p...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen ...