Fast and robust CAMShift tracking
CAMShift is a well-established and fundamental algorithm for kernel-based visual object
tracking. While it performs well with objects that have a simple and constant appearance, it is …
tracking. While it performs well with objects that have a simple and constant appearance, it is …
Robust fusion of color and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints
This paper presents a novel robust method for single target tracking in RGB-D images, and
also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While …
also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While …
Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models
This paper presents a method for single target tracking of arbitrary objects in challenging
video sequences. Targets are modeled at three different levels of granularity (pixel level …
video sequences. Targets are modeled at three different levels of granularity (pixel level …
Noncontact millimeter-wave real-time detection and tracking of heart rate on an ambulatory subject
IV Mikhelson, P Lee, S Bakhtiari… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a solution to an aiming problem in the remote sensing of vital signs
using an integration of two systems. The problem is that to collect meaningful data with a …
using an integration of two systems. The problem is that to collect meaningful data with a …
Continuously adaptive data fusion and model relearning for particle filter tracking with multiple features
This paper presents a new method for object tracking in a camera sensor with particle filters.
The method enables multiple target and background models, arbitrarily spanning many …
The method enables multiple target and background models, arbitrarily spanning many …
An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility
R Stolkin, A Greig, M Hodgetts, J Gilby - Image and Vision Computing, 2008 - Elsevier
This paper addresses the problems of visual tracking in conditions of extremely poor
visibility. The human visual system can often correctly interpret images that are of such poor …
visibility. The human visual system can often correctly interpret images that are of such poor …
Real-time tracking of non-rigid objects in image sequences for which the background may be changing
R Stolkin, I Florescu - US Patent 8,374,388, 2013 - Google Patents
(57) ABSTRACT A method and apparatus is disclosed for tracking an arbi trarily moving
object in a sequence of images where the background may be changing. The tracking is …
object in a sequence of images where the background may be changing. The tracking is …
Efficient visual servoing with the ABCshift tracking algorithm
R Stolkin, I Florescu, M Baron, C Harrier… - … on Robotics and …, 2008 - ieeexplore.ieee.org
Visual tracking algorithms have important robotic applications such as mobile robot
guidance and servoed wide area surveillance systems. These applications ideally require …
guidance and servoed wide area surveillance systems. These applications ideally require …
Bayesian fusion of thermal and visible spectra camera data for region based tracking with rapid background adaptation
R Stolkin, D Rees, M Talha… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
This paper presents a method for optimally combining pixel information from an infra-red
thermal imaging camera, and a conventional visible spectrum colour camera, for tracking a …
thermal imaging camera, and a conventional visible spectrum colour camera, for tracking a …
多特征融合的Camshift 算法及其进一步改进
林建华， 刘党辉， 邵显奎 - 计算机应用, 2012 - joca.cn
基于颜色核的Camshift 算法可以有效实现简单场景下的目标跟踪, 但在光线变化明显或目标与
背景颜色相近的场景下易受干扰. 为此, 采用颜色, 边缘梯度, 纹理等多个特征自适应融合的方式 …
背景颜色相近的场景下易受干扰. 为此, 采用颜色, 边缘梯度, 纹理等多个特征自适应融合的方式 …