搜索结果: 1-8 共查到“数据处理 tracking”相关记录8条 . 查询时间(0.046 秒)
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...
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...
MINIMIZING THE ERROR TRACKING OF MOBILE TERMINALS BY KALMAN FILTERING
cellular networks Kalman filtering position tracking
2006/1/12
A method to track mobile terminals in a cellular communication network is presented. It uses the received field strength from the surrounding base stations. A subsequent Kalman filtering is used to mi...
Interacting Multiple Model Particle Filter To Adaptive Visual Tracking
Interacting Multiple Model Particle Filter Adaptive Visual Tracking
2004/12/31
Visual tracking could be formulated as a state estimation problem of target representation based on observations in
image sequences. Approaching visual tracking problem in the Bayesian filter framew...