Vehicle type classification from visual-based dimension estimation

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2001, Pages 201-206

  Lai, A H S ^a   Fung, G S K ^a   Yung, N H C ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Camera calibration; Dimension estimation; Shadow removal; Vehicle modeling

Indexed keywords

ALGORITHMS; AUTOMOBILES; COMPUTER SIMULATION; IMAGE PROCESSING; MOTOR TRANSPORTATION; PARAMETER ESTIMATION; THREE DIMENSIONAL; TRUCKS; TWO DIMENSIONAL; VIDEO CAMERAS;

CAMERA CALIBRATION; DIMENSION ESTIMATION; SHADOW REMOVAL; VEHICLE TYPE CLASSIFICATION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 0034779060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Automatic vehicle identification for heavy vehicle monitoring
2. Road traffic monitoring in Hong Kong
3. Accuracy of traffic monitoring equipment field tests
4. Microprocessor and PC-based vehicle classification equipments using induction loops
5. Vehicle classification using stereo vision
6. Vision-based vehicle classification
7. Vehicle-type identification through automated virtual loop assignment and block-based direction-biased motion estimation
8. Detection of vehicle occlusion using a generalized deformable model
9. Vehicle segmentation and classification using deformable templates
10. Model-based object tracking in monocular image sequences of road traffic scenes
11. A fast and accurate scoreboard algorithm for estimating stationary backgrounds in an image sequence
12. Effective moving cast shadow detection for monocular color image sequences
13. A novel camera calibration technique for visual traffic surveillance