Vehicle classification based on soft computing algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6086 LNAI, Issue , 2010, Pages 70-79

  Dalka, Piotr ^a   Czyzewski, Andrzej ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Artificial neural network; Decision tree; Gabor filter; K nearest neighbors; Random forest; SURF; Vehicle type classification

Indexed keywords

ARTIFICIAL NEURAL NETWORK; GABOR FILTER; K-NEAREST NEIGHBORS; RANDOM FORESTS; SURF; VEHICLE TYPE CLASSIFICATION;

ALGORITHMS; AUTOMOBILES; DECISION TREES; NEURAL NETWORKS; PLANT EXTRACTS; ROUGH SET THEORY; SOFT COMPUTING; TRUCKS;

VEHICLES;

EID: 79956264839     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13529-3_9     Document Type: Conference Paper

References (21)

1. Morris, B., Trivedi, M.: Improved Vehicle Classification in Long Traffic Video by Cooperating Tracker and Classifier Modules. In: IEEE Int. Conf. on Video and Signal Based Surveillance, AVSS (2006)
2. Petrovic, V.S., Cootes, T.F.: Analysis of Features for Rigid Structure Vehicle Type Recognition. In: British Machine Vision Conference, pp. 587-596 (2004)
3. Saito, M., Kitaguchi, K.: Appearance Modeling for Object Pose Recognition using Canonical Correlation Analysis. In: Int. Joint Conf. SICE-ICASE, pp. 2818-2821 (2006) (Pubitemid 46949447)
4. Chung-Lin, H., Wen-Chieh, L.: A Vision-Based Vehicle Identification System. In: Proc. 17th Int. Conf. on Pattern Recognition, vol. 4, pp. 364-367 (2004)
5. Gupte, S., Masoud, O., Papanikolopoulos, P.: Vision-Based Vehicle Classification. In: Proc. of Int. Transportation Systems, pp. 46-51 (2000)
6. Jun-Wei, H., Shih-Hao, Y., Yung-Sheng, C., Wen-Fong, H.: Automatic Traffic Surveillance System for Vehicle Tracking and Classification. IEEE Trans. on Int. Transportation Systems 7(2), 175-187 (2006)
7. Zhong, Q.: Method of Vehicle Classification Based on Video. In: IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, AIM, pp. 162-164 (2008)
8. Sullivan, G.D., Baker, K.D., Worrall, A.D., Attwood, C.I., Remagnino, P.R.: Model-Based Vehicle Detection and Classification Using Orthographic Approximations. Image and Vision Computing 15(8), 649-654 (1996)
9. Buch, N., Orwell, J., Velastin, S.A.: Detection and Classification of Vehicles for Urban Traffic Scenes. In: 5th Int. Conf. on Visual Information Engineering, VIE (2008)
10. Worrall, A.D., Sullivan, G.D., Baker, K.D.: A simple intuitive camera calibration tool for natural images. In: BMVC, pp. 781-790 (1994)
11. Lai, A.H.S., Fung, G.S.K., Yung, N.H.C.: Vehicle Type Classification from Visual- Based Dimension Estimation. In: Proc. of Int. Transportation Systems, pp. 201-206 (2001) (Pubitemid 32936339)
12. Dalka, P.: Detection and Segmentation of Moving Vehicles and Trains Using Gaussian Mixtures, Shadow Detection and Morphological Processing. Machine Graphics and Vision 15(3/4), 339-348 (2006)
13. Czyzewski, A., Dalka, P.: Moving Object Detection and Tracking for the Purpose of Multimodal Surveillance System in Urban Areas. In: Proc. 1st Int. Symp. On Intell. Interactive Multim. Syst. and Services, Piraeus (2008)
14. Czyzewski, A., Dalka, P.: Examining Kalman filters applied to tracking objects in motion. In: Proc. of 9th Int. Workshop on Image Analysis for Multimedia Interactive Services, pp. 175-178 (2008)
15. Flusser, J., Suk, T.: Rotation Moment Invariants for Recognition of Symmetric Objects. IEEE Trans. Image Proc. 15, 3784-3790 (2006) (Pubitemid 44811690)
16. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404-417. Springer, Heidelberg (2006) (Pubitemid 44029795)
17. Kanungo, T., Mount, D.M., Netanyahu, N.S., Piatko, C.D., Silverman, R., Wu, A.Y.: An Efficient k-means Clustering Algorithm: Analysis and implementation. IEEE Trans. Pattern Analysis and Machine Intelligence 24, 881-892 (2002) (Pubitemid 34835464)
18. Daugman, J.G.: Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression. IEEE Trans. Acoustic, Speech and Signal Processing 36, 1169-1179 (1988)
19. Grigorescu, S.E., Petkov, N., Kruizinga, P.: Comparison of texture features based on Gabor filters. IEEE Trans. on Image Processing 11(10), 1160-1167 (2002) (Pubitemid 35359387)
20. Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth, Belmont (1998)
21. Breiman, L.: Random Forests. Machine Learning 45(1), 5-32 (2001) (Pubitemid 32933532)