Effective Multi-Vehicle Tracking in Nighttime Condition Using Imaging Sensors(Image Processing, Image pattern Recognition)

スポンサーリンク

概要

• 論文の詳細を見る

• In this paper, we develop an image-based tracking algorithm of multiple vehicles performing effective detection and tracking of moving objects under adverse environmental conditions. In particular, we employ low cost commercial off-the-shelf IR or CCD image sensor for generating continuous images of multiple moving vehicles. The motion in image sequences is first detected by adaptive background estimation and then tracked by Kalman filtering with the attribute information being updated by data association. Upon applying a modified Retinex procedure as preprocessing to reduce the illumination effects, we proceed with a two-step tracking algorithm. The first step achieves blob grouping and then judicially selects the true targets for tracking using data association through information registration. In the second stage, all blobs detected go through a validation for screening as well as for occlusion reasoning, and those found pertinent to the real object survive to become the 'Object' state for stable tracking. The results of representative tests confirm its effectiveness in vehicle tracking under both daylight and nighttime conditions while resolving occlusions.

• 社団法人電子情報通信学会の論文
• 2003-09-01

著者

• Han David

  Applied Physics Laboratory Johns Hopkins University

• KO Hanseok

  Department of Electronics and Computer Engineering, Korea University

• LEE Ilkwang

  Texas instruments Korea Ltd.

• LEE Jihyo

  Department of Electronics and Computer Engineering, Korea University

• Lee Jihyo

  Department Of Electronics And Computer Engineering Korea University

• Ko Hanseok

  Department Of Electronics And Computer Engineering Korea University

関連論文

• Effective Multi-Vehicle Tracking in Nighttime Condition Using Imaging Sensors(Image Processing, Image pattern Recognition)
• Harmonic Components Based Post-Filter Design for Residual Echo Suppression
• W-Disjoint Orthogonality Based Residual Acoustic Echo Cancellation for Hands-Free Communication
• Masking Property Based Residual Acoustic Echo Cancellation for Hands-Free Communication in Automobile Environment
• Effective Energy Feature Compensation Using Modified Log-energy Dynamic Range Normalization for Robust Speech Recognition(Fundamental Theories for Communications)
• Bayesian Confidence Scoring and Adaptation Techniques for Speech Recognition(Multimedia Systems for Communications)
• Effective Tracking for Maneuvering Mobile Station via Interacting Multiple Model Filter in CDMA Environment
• Robust Relative Transfer Function Estimation for Dual Microphone-Based Generalized Sidelobe Canceller
• Optimal Gain Filter Design for Perceptual Acoustic Echo Suppressor

スポンサーリンク