搜索结果: 1-8 共查到“Object Tracking”相关记录8条 . 查询时间(0.062 秒)
Evaluation of object tracking in traffic scenes
Evaluation object tracking traffi c kalman fi ltering
2015/8/25
Trajectories extracted from an object tracker are a valuable source of information to derive describing parameters for traffic situation analysis. In order to ensure the quality of these paramet...
Object Tracking in the Presence of Occlusions via a Camera Network
Tracking occlusion auxiliary particle filter camera network noisy perspective camera model
2015/8/17
Object Tracking in the Presence of Occlusions via a Camera Network.
Robust Object Tracking via Inertial Potential based Mean Shift
Object tracking mean shift motion modeling probabilistic approximation
2011/12/10
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Treat samples differently: Object tracking with semi-supervised online CovBoost
Object tracking semi-supervised CovBoost
2011/11/2
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
Novel Observation Model for Probabilistic Object Tracking
Novel Observation Model Probabilistic Object Tracking
2010/6/30
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force search to perform obje...
This paper presents two methods of object detection/tracking in a video. The
first method will use the motion tracking technique combined with density detection
which will be described. The second o...
Object Tracking Using Incremental 2D-LDA Learning and Bayes Inference
Object Tracking Incremental 2D-LDA Bayes Inference
2008/12/31
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends
to cause tracking fail...
OBJECT TRACKING USING INCREMENTAL 2D-LDA LEARNING AND BAYES INFERENCE
object tracking incremental 2D-LDA Bayes inference
2008/10/17
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends to cause tracking failu...