[PDF][PDF] 肤色检测技术综述

陈锻生[1, 刘政凯 - 计算机学报, 2006 - cjc.ict.ac.cn
摘! 要! 肤色检测在人脸和手势识别与跟踪&K9: 图像内容过滤& 数据库或因特网中的人物检索和
医疗诊断等方面有广泛应用8 文中通过分别介绍基于统计和基于物理的两类肤色检测技术 …

A survey of appearance models in visual object tracking

X Li, W Hu, C Shen, Z Zhang, A Dick… - ACM transactions on …, 2013 - dl.acm.org
Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Kernel-based object tracking

D Comaniciu, V Ramesh, P Meer - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
A new approach toward target representation and localization, the central component in
visual tracking of nonrigid objects, is proposed. The feature histogram-based target …

Detecting faces in images: A survey

MH Yang, DJ Kriegman, N Ahuja - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

Real-time tracking of non-rigid objects using mean shift

D Comaniciu, V Ramesh, P Meer - … IEEE Conference on …, 2000 - ieeexplore.ieee.org
A new method for real time tracking of non-rigid objects seen from a moving camera is
proposed. The central computational module is based on the mean shift iterations and finds …

Background and foreground modeling using nonparametric kernel density estimation for visual surveillance

A Elgammal, R Duraiswami, D Harwood… - Proceedings of the …, 2002 - ieeexplore.ieee.org
Automatic understanding of events happening at a site is the ultimate goal for many visual
surveillance systems. Higher level understanding of events requires that certain lower level …

An adaptive color-based particle filter

K Nummiaro, E Koller-Meier, L Van Gool - Image and vision computing, 2003 - Elsevier
Robust real-time tracking of non-rigid objects is a challenging task. Particle filtering has
proven very successful for non-linear and non-Gaussian estimation problems. The article …

Biometric recognition in surveillance scenarios: a survey

J Neves, F Narducci, S Barra, H Proença - Artificial Intelligence Review, 2016 - Springer
Interest in the security of individuals has increased in recent years. This increase has in turn
led to much wider deployment of surveillance cameras worldwide, and consequently …

Tracking groups of people

SJ McKenna, S Jabri, Z Duric, A Rosenfeld… - Computer vision and …, 2000 - Elsevier
A computer vision system for tracking multiple people in relatively unconstrained
environments is described. Tracking is performed at three levels of abstraction: regions …

[PDF][PDF] Object tracking using camshift algorithm and multiple quantized feature spaces

JG Allen, RYD Xu, JS Jin - ACM international conference proceeding …, 2004 - Citeseer
Abstract The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the
Mean Shift algorithm for object tracking that is intended as a step towards head and face …