Vision-based cleaning area control for cleaning robots

IEEE Transactions on Consumer Electronics

Volumn 58, Issue 2, 2012, Pages 685-690

  Kim, Soowoong ^a   Sim, Jae Young ^a   Yang, Seungjoon ^a  

^a Ulsan National Institute of Science and Technology   (South Korea)

Author keywords

AdaBoost; hand pose detection; human computer interaction; reduced Haar like feature set; service robots

Indexed keywords

AREA CONTROL; CLEANING ROBOT; COMPLEX BACKGROUND; HAAR-LIKE FEATURES; HAND POSE; HCI METHODS; HOME ENVIRONMENT; INPUT DEVICES; POSE ESTIMATION; SERVICE ROBOTS; SPECIFIC LOCATION; TEST IMAGES; VIDEO SEQUENCES; VISION BASED;

ADAPTIVE BOOSTING; DETECTORS; HUMAN COMPUTER INTERACTION; ROBOTS; VIDEO RECORDING;

CLEANING;

EID: 84863671628     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2012.6227477     Document Type: Article

References (15)

1. C. Chunlin, L. Han-Xiong, and D. Daoyi, "Hybrid control for robot navigation - a hierarchical Q-learning algorithm," IEEE Robotics and Automation Magazine , vol. 15, no. 2, pp. 37-47, 2008.
2. S. Saeedi, L. Paull, M. Trentini, and H. Li, "Neural network-based multiple robot simultaneous localization and mapping," IEEE Trans. Neural Networks, vol. 22, no. 12, pp. 2376-2387, 2011.
3. Y. Xue, and T. Xu, "An optimal and safe path planning for mobile robot in home environment advanced research on computer science and information engineering," Communications in Computer and Information Science G. Shen and X. Huang, eds., pp. 442-447: Springer Berlin Heidelberg, 2011.
4. Y. Chai, S. Shin, K. Chang, and T. Kim, "Real-time user interface using particle filter with integral histogram," IEEE Trans. Consumer Electronics, vol. 56, no. 2, pp. 510-515, 2010.
5. D. Lee, and Y. Park, "Vision-based remote control system by motion detection and open finger counting," IEEE Trans. Consumer Electronics, vol. 55, no. 4, pp. 2308-2313, 2009.
6. S. Y. Cheng, and M. M. Trivedi, "Vision-based infotainment user determination by hand recognition for driver assistance," IEEE Trans. Intelligent Transportation Systems, vol. 11, no. 3, pp. 759-764, 2010.
7. Y. V. Parkale, "Gesture based operating system control," 2nd Intl. Conf. Advanced Computing & Communication Technologies, pp. 318-323, January 2012
8. N. H. Dardas, and N. D. Georganas, "Real-time hand gesture detection and recognition using bag-of-features and support vector machine techniques," IEEE trans. Instrumentation and Measurement, vol. 60, no. 11, pp. 3592-3607, 2011.
9. C. Garcia, and M. Delakis, "Convolutional face finder: a neural architecture for fast and robust face detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 11, pp. 1408-1423, 2004. (Pubitemid 40168019)
10. X. Shipeng, and P. Jing, "Hand detection using robust color correction and gaussian mixture model," 6th Intl. Conf. Image and Graphics, pp. 553-557, August 2011.
11. J. Guo, Y. Liu, C. Chang, and H. Nguyen, "Improved hand tracking system," IEEE Trans. Circuits and Systems for Video Technology, vol. PP, no. 99, pp. 1-1, 2011.
12. P. Viola, and M. Jones, "Rapid object detection using a boosted cascade of simple features." Proc. The 2011 IEEE Computer Society Conf. Computer Vision and Pattern Recognition, pp. I-511-I-518 vol.1.
13. S. Kim, J. Y. Sim, and S. Yang, "Background robust hand detection using a reduced Haarlike feature set," submitted for publication in Electronics Letters.
14. W. Bo, A. Haizhou, H. Chang, and L. Shihong, "Fast rotation invariant multi-view face detection based on real Adaboost," 6th IEEE Intl. Conf. Automatic Face and Gesture Recognition, pp. 79-84, 2004.
15. R. E. Schapire, and Y. Singer, "Improved Boosting Algorithms Using Confidence-rated Predictions," Machine Learning, vol. 37, no. 3, pp. 297-336, 1999. (Pubitemid 32210620)