1. Trang chủ
  2. » Luận Văn - Báo Cáo

Phát hiện và theo dõi khuôn mặt trong thời gian trên smartphone

57 15 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 57
Dung lượng 1,42 MB

Nội dung

Ngày đăng: 27/01/2021, 08:26

Nguồn tham khảo

Tài liệu tham khảo Loại Chi tiết
[1] Papageorgiou, Constantine P., Michael Oren, and Tomaso Poggio. "A general framework for object detection." Computer vision, 1998.sixth international conference on. IEEE, 1998 Sách, tạp chí
Tiêu đề: A general framework for object detection
[2] Schapire, Robert E., and Yoram Singer. "Improved boosting algorithms using confidence-rated predictions." Machine learning 37.3 (1999): 297-336 Sách, tạp chí
Tiêu đề: Improved boosting algorithms using confidence-rated predictions
Tác giả: Schapire, Robert E., and Yoram Singer. "Improved boosting algorithms using confidence-rated predictions." Machine learning 37.3
Năm: 1999
[3] Allen, John G., Richard YD Xu, and Jesse S. Jin. "Object tracking using camshift algorithm and multiple quantized feature spaces." Proceedings of the Pan- Sydney area workshop on Visual information processing. Australian Computer Society, Inc., 2004 Sách, tạp chí
Tiêu đề: Object tracking using camshift algorithm and multiple quantized feature spaces
[4] Comaniciu, Dorin, and Peter Meer. "Mean shift: A robust approach toward feature space analysis." Pattern Analysis and Machine Intelligence, IEEE Transactions on 24.5 (2002): 603-619 Sách, tạp chí
Tiêu đề: Mean shift: A robust approach toward feature space analysis
Tác giả: Comaniciu, Dorin, and Peter Meer. "Mean shift: A robust approach toward feature space analysis." Pattern Analysis and Machine Intelligence, IEEE Transactions on 24.5
Năm: 2002
[6] Schapire, Robert E., et al. "Boosting the margin: A new explanation for the effectiveness of voting methods." Annals of statistics (1998): 1651-1686 Sách, tạp chí
Tiêu đề: Boosting the margin: A new explanation for the effectiveness of voting methods
Tác giả: Schapire, Robert E., et al. "Boosting the margin: A new explanation for the effectiveness of voting methods." Annals of statistics
Năm: 1998
[7] Viola, Paul, and Michael Jones. "Rapid object detection using a boosted cascade of simple features." Computer Vision and Pattern Recognition, 2001.CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol.1. IEEE, 2001 Sách, tạp chí
Tiêu đề: Rapid object detection using a boosted cascade of simple features
[8] Comaniciu, Dorin, Visvanathan Ramesh, and Peter Meer. "Kernel-based object tracking." Pattern Analysis and Machine Intelligence, IEEE Transactions on 25.5 (2003): 564-577 Sách, tạp chí
Tiêu đề: Kernel-based object tracking
Tác giả: Comaniciu, Dorin, Visvanathan Ramesh, and Peter Meer. "Kernel-based object tracking." Pattern Analysis and Machine Intelligence, IEEE Transactions on 25.5
Năm: 2003
[9] Chae, Yeong Nam, Jaewon Ha, and Hyun S. Yang. "Development of an efficient face detection and tracking system for mobile devices." Virtual Systems and Multimedia (VSMM), 2010 16th International Conference on. IEEE, 2010 Sách, tạp chí
Tiêu đề: Development of an efficient face detection and tracking system for mobile devices
[10] Lienhart, Rainer, and Jochen Maydt. "An extended set of haar-like features for rapid object detection." Image Processing. 2002. Proceedings. 2002 International Conference on. Vol. 1. IEEE, 2002 Sách, tạp chí
Tiêu đề: An extended set of haar-like features for rapid object detection
[11] Okuma, Kenji, et al. "A boosted particle filter: Multitarget detection and tracking." Computer Vision-ECCV 2004. Springer Berlin Heidelberg, 2004. 28-39 Sách, tạp chí
Tiêu đề: A boosted particle filter: Multitarget detection and tracking
[12] Doucet, Arnaud, Simon Godsill, and Christophe Andrieu. "On sequential Monte Carlo sampling methods for Bayesian filtering." Statistics and computing 10.3 (2000): 197-208 Sách, tạp chí
Tiêu đề: On sequential Monte Carlo sampling methods for Bayesian filtering
Tác giả: Doucet, Arnaud, Simon Godsill, and Christophe Andrieu. "On sequential Monte Carlo sampling methods for Bayesian filtering." Statistics and computing 10.3
Năm: 2000
[13] Kalman, Rudolph Emil. "A new approach to linear filtering and prediction problems." Journal of Fluids Engineering 82.1 (1960): 35-45 Sách, tạp chí
Tiêu đề: A new approach to linear filtering and prediction problems
Tác giả: Kalman, Rudolph Emil. "A new approach to linear filtering and prediction problems." Journal of Fluids Engineering 82.1
Năm: 1960
[14] Zhao, Zinan, and Mrinal Kumar. "An MCMC-based particle filter for multiple target tracking." Information Fusion (FUSION), 2012 15th International Conference on. IEEE, 2012 Sách, tạp chí
Tiêu đề: An MCMC-based particle filter for multiple target tracking
[15] Sọrkkọ, Simo, Aki Vehtari, and Jouko Lampinen. "Rao-Blackwellized particle filter for multiple target tracking." Information Fusion 8.1 (2007): 2-15 Sách, tạp chí
Tiêu đề: Rao-Blackwellized particle filter for multiple target tracking
Tác giả: Sọrkkọ, Simo, Aki Vehtari, and Jouko Lampinen. "Rao-Blackwellized particle filter for multiple target tracking." Information Fusion 8.1
Năm: 2007
[16] He, Dong-Chen, and Li Wang. "Texture unit, texture spectrum, and texture analysis." Geoscience and Remote Sensing, IEEE Transactions on 28.4 (1990): 509- 512 Sách, tạp chí
Tiêu đề: Texture unit, texture spectrum, and texture analysis
Tác giả: He, Dong-Chen, and Li Wang. "Texture unit, texture spectrum, and texture analysis." Geoscience and Remote Sensing, IEEE Transactions on 28.4
Năm: 1990
[17] Hong, Shaohua, et al. "Simplified particle PHD filter for multiple-target tracking: Algorithm and architecture." Progress In Electromagnetics Research 120 (2011): 481-498 Sách, tạp chí
Tiêu đề: Simplified particle PHD filter for multiple-target tracking: Algorithm and architecture
Tác giả: Hong, Shaohua, et al. "Simplified particle PHD filter for multiple-target tracking: Algorithm and architecture." Progress In Electromagnetics Research 120
Năm: 2011
[18] Breitenstein, Michael D., et al. "Online multiperson tracking-by-detection from a single, uncalibrated camera." Pattern Analysis and Machine Intelligence, IEEE Transactions on 33.9 (2011): 1820-1833 Sách, tạp chí
Tiêu đề: Online multiperson tracking-by-detection from a single, uncalibrated camera
Tác giả: Breitenstein, Michael D., et al. "Online multiperson tracking-by-detection from a single, uncalibrated camera." Pattern Analysis and Machine Intelligence, IEEE Transactions on 33.9
Năm: 2011
[20] Bhattacharyya, Anil. "On a measure of divergence between two multinomial populations." Sankhyā: The Indian Journal of Statistics (1946): 401-406 Sách, tạp chí
Tiêu đề: On a measure of divergence between two multinomial populations
Tác giả: Bhattacharyya, Anil. "On a measure of divergence between two multinomial populations." Sankhyā: The Indian Journal of Statistics
Năm: 1946
[21] Mọenpọọ, Topi, and Matti Pietikọinen. "Texture analysis with local binary patterns." Handbook of Pattern Recognition and Computer Vision 3 (2005): 19 Sách, tạp chí
Tiêu đề: Texture analysis with local binary patterns
Tác giả: Mọenpọọ, Topi, and Matti Pietikọinen. "Texture analysis with local binary patterns." Handbook of Pattern Recognition and Computer Vision 3
Năm: 2005
[22] Bradski, Gary R. "Computer vision face tracking for use in a perceptual user interface." (1998).APA Sách, tạp chí
Tiêu đề: Computer vision face tracking for use in a perceptual user interface
Tác giả: Bradski, Gary R. "Computer vision face tracking for use in a perceptual user interface
Năm: 1998
w