搜索结果: 1-15 共查到“信息与通信工程 tracking”相关记录22条 . 查询时间(0.046 秒)
On Optimisation of Cluster-based Sensor Network Tracking System
WSN wireless sensor network target tracking cluster optimisation
2016/1/23
Tracking mobile targets using low-cost Wireless Sensor Network (WSN) requires not only good tracking accuracy but also network longevity. Cluster-based tracking protocols leverage the fact that only s...
Extraction and tracking of orientation coded features being robust against illumination changes
feature extraction tracking orientation code richness
2015/8/25
We present a feature extraction and tracking method which is based on pure rich texture analysis and has robustness under irregular conditions, such as illumination change, deformation of objects and ...
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.
Galileo GIOVE-A Broadcast E5 Codes and their Application to Acquisition and Tracking
Galileo GIOVE-A Broadcast E5 Codes Application Acquisition Tracking
2015/6/25
In this paper, we decode the PRN codes of the E5a and E5b signals broadcast by the Galileo GIOVE-A test satellite. The Galileo E5 band overlaps with Distance Measuring Equipment (DME) and Tactical Air...
Compass-M1 Broadcast Codes and Their Application to Acquisition and Tracking
Compass-M1 Broadcast Codes Their Application Acquisition Tracking
2015/6/25
With the launch of the Compass-M1 satellite on 14 April 2007, China is set to become the latest entrant into global navigation satellite systems (GNSS). The satellite, sometimes referred to as Compass...
MULTIPLE HUMAN TRACKING IN COMPLEX SITUATION BY DATA ASSIMILATION WITH PEDESTRIAN BEHAVIOR MODEL
Observations Simulation Integration Image Sequences Tracking System Modelling
2012/7/31
A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. Despite the importance of understanding pedestrian behavior in...
Robust Visual Tracking Using Feature-based Visual Attention
Robust Visual Tracking Feature-based Visual Attention
2010/6/30
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the
searched target, which ...
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Visual Tracking Weakly Supervised Multiple Imperfect Oracles
2010/6/30
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems.To solve them, most top-performing method...
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...
Robust automatic tracking of skin-colored objects with level set based occlusion handling
Robust automatic tracking skin-colored objects occlusion handling
2009/12/31
The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in gestural human-computer interaction,such as in gesture and sign language recognition. In this p...
Iterative Channel-Tracking Techniques for 5.9 GHz DSRC Applications
Iterative Channel-Tracking Techniques 5.9 GHz DSRC
2009/9/4
This letter proposes a novel channel-tracking scheme to improve the performance of the dedicated short-range communication (DSRC) systems affected by rapid fluctuations in channel envelopes. The propo...
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...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT BLOB TRACKING FEATURE SELECTION SCALE ADAPTATION
2007/12/31
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT ADAPTIVE FEATURE SELECTION SCALE ADAPTATION
2007/12/31
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we
propose a method to embe...
Automatic multi-player detection and tracking in broadcast sports video using support vector machine and particle filter
broadcast sports video support vector machine particle filter
2006/12/31
In this paper, a novel multiple objects detection and tracking approach based on support vector machine and particle filter is proposed to track players in broadcast sports video. Compared with previo...