1 |
A. Mohan, C. Papageorgiou, and T. Poggio, “Example-Based Object Detection in Images by Components,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 4, pp. 349-361, 2001.
DOI
|
2 |
H. Tao, H.S. Sawhney, and R. Kumar, “Object Tracking with Bayesian Estimation of Dynamic Layer Representations,” IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, pp. 75-89, 2002.
DOI
|
3 |
D. Comaniciu and P. Meer, “Real-Time Tracking of Non-Rigid Objects Using Mean Shift,” Proceeding of IEEE Conference Computer Vision and Pattern Recognition, Vol. 20, pp. 142-149, 2000.
|
4 |
L. Li and M.K.H. Leung, “Integrating Intensity and Texture Differences for Robust Change Detection,” IEEE Transactions on Image Processing, Vol. 11, No. 2, pp. 105-112, 2002.
DOI
|
5 |
M. Heikkila and M. Pietikainen, “A Texture based Method for Modeling the Background and Detecting Moving Objects,” IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 28, No. 4, pp. 657-662, 2006.
DOI
|
6 |
L. Huang, G. Zhang, and Y. Li, “An Object-based Change Detection Approach by Integrating Intensity and Texture Differences,” Proceeding of 2nd International Asia Conference on Informatics in Control, Automation and Robotics, Vol. 3, pp. 258-261, 2010.
|
7 |
E. Land and J. McCann, “Lightness and Retinex Theory,” Journal of the Optical Society of America A, Vol. 61. No. 1, pp. 1-11, 1971.
DOI
|
8 |
J. Chung and H. Yang. “Comparative Study on Illumination Compensation Performance of Retinex Model and Illumination-Reflectance Model,” Journal of KISSE : Software and Applications, Vol. 33, No. 11, pp. 936-941, 2006.
|
9 |
K. Lai, L. Bo, X. Ren, and D. Fox, “Sparse Distance Learning for Object Recognition Combining RGB and Depth Information,” Proceeding of 2011 IEEE International Conference on Robotics and Automation, pp. 4007-4013, 2011.
|
10 |
H. Min, S. Noh, and Y. Kim, “Moving Object Tracking System Using Location Information Based on Stereo Images,” Journal of Korean Institute of Intelligent Systems, Vol. 20, No. 2, pp. 239-240, 2010.
DOI
|
11 |
B. Choo, M. Landau, M. DeVore, and P.A. Beling, “Statistical Analysis-Based Error Models for the Microsoft KinectTM Depth Sensor,” Sensors, Vol. 14, No. 9, pp. 17430-17450, 2014.
DOI
|
12 |
H.A. Patel and D.G. Thakore, “Moving Object Tracking Using Kalman Filter,” International Journal of Computer Science and Mobile Computing, Vol. 2, No. 4, pp. 326-332, 2013.
|
13 |
C.V. Nguyen, S. Izadi, and D. Lovell, “Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking,” Processing of 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, pp. 524-530, 2012.
|
14 |
Y. Zhang, J. Li, and N. Xu, “3D Path Following Control for UAVs Using L1 Adaptive Method,” Proceeding of Chinese Automation Congress, pp. 1098-1104, 2015.
|
15 |
R. Ren, Z. Zou, and X. Wang, “L1 Adaptive Control Used in Path Following of Surface Ships,” Proceeding of 2014 33rd Chinese Control Conference, pp. 8047-8053, 2014.
|
16 |
G. Du and P. Zhang, “A Markerless Human-Robot Interface Using Particle Filter and Kalman Filter for Dual Robots,” IEEE Transactions on Industrial Electronics, Vol. 62, No. 4, pp. 2257-2264, 2015.
DOI
|
17 |
D. Lee and S. Kwon, “Touch Pen Using Depth Information,” Journal of Korea Multimedia Society, Vol. 18, No. 11, pp. 1313-1318, 2015.
DOI
|