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Title of Journal: Pattern Anal Applic

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Abbravation: Pattern Analysis and Applications

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Springer-Verlag

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DOI

10.1002/9783527615872.ch6

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1433-755X

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Computer vision techniques for traffic flow comput

Authors: Li Bai William Tompkinson Yan Wang
Publish Date: 2005/05/20
Volume: 7, Issue: 4, Pages: 365-372
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Abstract

This paper describes an application of computer vision techniques to road surveillance It reports on a project undertaken in collaboration with the Research and Innovation group at the Ordnance Survey The project aims to produce a system that detects and tracks vehicles in real traffic scenes to generate meaningful parameters for use in traffic management The system has now been implemented using two different approaches a featurebased approach that detects and groups corner features in a scene into potential vehicle objects and an appearancebased approach that trains a cascade of classifiers to learn the appearances of vehicles as an arrangement of a set of predefined simple Haar features Potential vehicles detected are then tracked through an image sequence using the Kalman filter motion tracker Experimental results of the algorithms are presented in this paper

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Other Papers In This Journal:
  1. Texture code matrix-based multi-instance iris recognition
  2. Wavelet feature space in computer-aided electroretinogram evaluation
  3. Computer vision techniques for traffic flow computation
  4. A systematic evaluation of the scale invariance of texture recognition methods
  5. Supervised texture classification: color space or texture feature selection?
  6. Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T -operators
  7. Classification of dissimilarity data with a new flexible Mahalanobis-like metric
  8. Topographic Bernoulli block mixture mapping for binary tables
  9. A modified kernel clustering method with multiple factors
  10. Clustering spatial data with a hybrid EM approach
  11. The impact of false alarm mitigation on surface landmine detection in MWIR imagery
  12. On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features
  13. Automatic logo transition detection in digital video contents
  14. Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models
  15. Parametric and nonparametric tests for speckled imagery
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