Moving object detection using keypoints reference model

Eurasip Journal on Image and Video Processing

Volumn 2011, Issue 1, 2011, Pages 1-8

  Wan Zaki, Wan Mimi Diyana Bt ^a   Hussain, Aini ^a   Hedayati, Mohamed ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; OBJECT RECOGNITION;

BACKGROUND MODELLING; BACKGROUND SUBTRACTION; FRAME DIFFERENCING; GAUSSIAN MIXTURE MODEL; LIGHTING FLUCTUATION; MOVING-OBJECT DETECTION; SCALE INVARIANT FEATURES; TRUE POSITIVE RATES;

OBJECT DETECTION;

EID: 84890087133     PISSN: 16875176     EISSN: 16875281     Source Type: Journal    
DOI: 10.1186/1687-5281-2011-13     Document Type: Article

References (19)

1. Cristani M, Farenzena M, Bloisi D, Murino V: Background subtraction for automated multisensor surveillance: a comprehensive review. EURASIP J Adv Signal Process 2010, Article ID 343057, 24 (2010).
2. Lopez-Rubio E, Luque-Baena RM: Stochastic approximation for background modelling. Comput Vis Image Understand 2011, 115(6):735-749.
3. Wren C, Azarhayejani A, Darrell T, Pentland AP: Pfinder: real-time tracking of the human body. IEEE Trans Pattern Anal Mach Intell 1997, 19(7):780-785.
4. Bouttefroy PLM, Bouzerdoum A, Phung SL, Beghdadi A: On the analysis of background subtraction techniques using Gaussian mixture. Acoustics Speech and Signal Processing (ICASSP) 2010.
5. Stauffer C, Grimson WEL: Adaptive background mixture models for realtime tracking. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’99) 1999, 2:22-46.
6. Elgammal AM, Harwood D, Davis LS: Non-parametric model for background subtraction. ECCV 2000, 751-767.
7. Cucchiara R, Grana C, Piccardi M, Prati A: Statistic and knowledge-based moving object detection in traffic scenes. 2000 IEEE Proceedings of Intelligent Transportation Systems 2000.
8. Cucchiara R, Grana C, Piccardi M, Prati A: Detecting moving objects, ghosts and shadows in video streams. IEEE Trans PAMI 2003, 25(10):1337-1342.
9. McFarlane N, Schofield C: Segmentation and tracking of piglets in images. Mach Vis Appl 1995, 8(3):187-193.
10. Moeslunda TB, Hiltonb A, Krügerc V: A survey of advances in vision-based human motion capture and analysis. J Comput Vis Image Understand 2006, 104(2):90-126.
11. Harris C, Stephens M: A combined corner and edge detector. Proceedings of the 4th Alvey Vision Conference 1988, 147-151.
12. Lowe DG: Object recognition from local scale-invariant features. Proceedings of the International Conference on Computer Vision 1999, 2:1150-1157.
13. Mikolajczyk K, Schmid C: An affine invariant interest point detector. Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada 2002.
14. Mikolajczyk K, Schmid C: Scale & affine invariant interest point detectors. Int J Comput Vis 2004, 60(1):63-86.
15. Bay H, Ess A, Tuytelaars T, Van Gool L: SURF: speeded up robust features. Comput Vis Image Understand 2008, 110(3):346-359.
16. Viola P, Jones M: Rapid object detection using a boosted cascade of simple features. CVPR 2001, 1:511.
17. Agrawal M, Konolige K, Blas MR, CenSur E: center surround extremas for realtime feature detection and matching. In ECCV LNCS. Volume 5305. Edited by: Forsyth D, Torr P, Zisserman A. Springer, Heidelberg, 2008; 2008:102-115, Part IV.
18. Lowe DG: Distinctive image features from scale-invariant keypoints. Int J Comput Vis 2004, 60(2):91-110.
19. Rosin P, Ioannidis E: Evaluation of global image thresholding for change detection. Pattern Recogn Lett 2003, 24(14):2345-2356.