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Displaying 1-14 out of 14 total
Pedestrian Attribute Classification in Surveillance: Database and Evaluation
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Jianqing Zhu,Shengcai Liao,Zhen Lei,Dong Yi,Stan Z. Li
Issue Date:December 2013
pp. 331-338
Attributes are helpful to infer high-level semantic knowledge of pedestrians, thus improving the performance of pedestrian tracking, retrieval, re-identification, etc. However, current pedestrian databases are mainly for the pedestrian detection or trackin...
 
Partial Face Recognition: Alignment-Free Approach
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shengcai Liao,A. K. Jain,S. Z. Li
Issue Date:May 2013
pp. 1193-1205
Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenarios, with images c...
 
Partial face recognition: An alignment free approach
Found in: Biometrics, International Joint Conference on
By Shengcai Liao,Anil K. Jain
Issue Date:October 2011
pp. 1-8
Many approaches have been developed for holistic face recognition with impressive performance. However, few studies have addressed the question of how to recognize an arbitrary image patch of a holistic face. In this paper we address this problem of partia...
 
Moving Cast Shadow Removal Based on Local Descriptors
Found in: Pattern Recognition, International Conference on
By Rui Qin, Shengcai Liao, Zhen Lei, Stan Z. Li
Issue Date:August 2010
pp. 1377-1380
Moving cast shadow removal is an important yet difficult problem in video analysis and applications. This paper presents a novel algorithm for detection of moving cast shadows, that based on a local texture descriptor called Scale Invariant Local Ternary P...
 
Online Principal Background Selection for Video Synopsis
Found in: Pattern Recognition, International Conference on
By Shikun Feng, Shengcai Liao, Zhiyong Yuan, Stan Z. Li
Issue Date:August 2010
pp. 17-20
Video synopsis provides a means for fast browsing of activities in video. Principal background selection (PBS) is an important step in video synopsis. Existing methods make PBS in an offline way and at a high memory cost. In this paper we propose a novel b...
 
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikainen, Stan Z. Li
Issue Date:June 2010
pp. 1301-1306
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illumination variations and dynamic backgrounds are the key aspects. In this work, we de...
 
Adaptive object classification in surveillance system by exploiting scene context
Found in: Computer Vision and Pattern Recognition Workshop
By Jitao Sang, Zhen Lei, Shengcai Liao, S.Z. Li
Issue Date:June 2009
pp. 1-7
Surveillance system involving hundreds of cameras becomes very popular. Due to various positions and orientations of camera, object appearance changes dramatically in different scenes. Traditional appearance based object classification methods tend to fail...
 
On Constrained Sparse Matrix Factorization
Found in: Computer Vision, IEEE International Conference on
By Wei-Shi Zheng, Stan Z. Li, J. H. Lai, Shengcai Liao
Issue Date:October 2007
pp. 1-8
Various linear subspace methods can be formulated in the notion of matrix factorization in which a cost function is minimized subject to some constraints. Among them, constraints on sparseness have received much attention recently. Some popular constraints...
 
Part-based Face Recognition Using Near Infrared Images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ke Pan, Shengcai Liao, Zhijian Zhang, Stan Z. Li, Peiren Zhang
Issue Date:June 2007
pp. 1-6
Recently, we developed NIR based face recognition for highly accurate face recognition under illumination variations [10]. In this paper, we present a part-based method for improving its robustness with respect to pose variations. An NIR face is decomposed...
 
Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan
Issue Date:June 2007
pp. 1-2
No summary available.
 
Illumination Invariant Face Recognition Using Near-Infrared Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Stan Z. Li, RuFeng Chu, ShengCai Liao, Lun Zhang
Issue Date:April 2007
pp. 627-639
Most current face recognition systems are designed for indoor, cooperative-user applications. However, even in thus-constrained applications, most existing systems, academic and commercial, are compromised in accuracy by changes in environmental illuminati...
 
A Near-infrared Image Based Face Recognition System
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu, RuFeng Chu, Meng Ao, Ran He
Issue Date:April 2006
pp. 455-460
In this paper, we present a near infrared (NIR) image based face recognition system. Firstly, we describe a design of NIR image capture device which minimizes influence of environmental lighting on face images. Both face and facial feature localization and...
 
Robust Multi-resolution Pedestrian Detection in Traffic Scenes
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Junjie Yan,Xucong Zhang,Zhen Lei,Shengcai Liao,Stan Z. Li
Issue Date:June 2013
pp. 3033-3040
The serious performance decline with decreasing resolution is the major bottleneck for current pedestrian detection techniques. In this paper, we take pedestrian detection in different resolutions as different but related problems, and propose a Multi-Task...
 
Flickr group recommendation based on tensor decomposition
Found in: Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10)
By Leiming Zhang, Nan Zheng, Qiudan Li, Shengcai Liao
Issue Date:July 2010
pp. 737-738
Over the last few years, Flickr has gained massive popularity and groups in Flickr are one of the main ways for photo diffusion. However, the huge volume of groups brings troubles for users to decide which group to choose. In this paper, we propose a tenso...
     
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