The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Human detection using depth information by Kinect
Abstract
Conventional human detection is mostly done in images taken by visible-light cameras. These methods imitate the detection process that human use. They use features based on gradients, such as histograms of oriented gradients (HOG), or extract interest points in the image, such as scale-invariant feature transform (SIFT), etc. In this paper, we present a novel human detection method using depth information taken by the Kinect for Xbox 360. We propose a model based approach, which detects humans using a 2-D head contour model and a 3-D head surface model. We propose a segmentation scheme to segment the human from his/her surroundings and extract the whole contours of the figure based on our detection point. We also explore the tracking algorithm based on our detection result. The methods are tested on our database taken by the Kinect in our lab and present superior results.
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Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
Human Detection Using Oriented Histograms of Flow and Appearance
Dalal, N., Triggs, B., & Schmid, C. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744047_33 · Cited by 1,652
Human detection using partial least squares analysis
Schwartz, W. R., Kembhavi, A., Harwood, D., & Davis, L. S. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459205 · Cited by 493
Learning object detection from a small number of examples: the importance of good features
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Real time motion capture using a single time-of-flight camera
Ganapathi, V., Plagemann, C., Koller, D., & Thrun, S. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540141 · Cited by 368
Real-time identification and localization of body parts from depth images
Plagemann, C., Ganapathi, V., Koller, D., & Thrun, S. (2010) · 2010 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2010.5509559 · Cited by 275
Integrated person tracking using stereo, color, and pattern detection
Darrell, T., Gordon, G., Harville, M., & Woodfill, J. (2002) · Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231) · doi:10.1109/cvpr.1998.698667 · Cited by 258
Controlled human pose estimation from depth image streams
Zhu, Y., Dariush, B., & Fujimura, K. (2008) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2008.4563163 · Cited by 91
Real-Time Human Detection Using Relational Depth Similarity Features
Ikemura, S., & Fujiyoshi, H. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-19282-1_3 · Cited by 88
Cited by
View invariant human action recognition using histograms of 3D joints
Xia, L., Chen, C.-C., & Aggarwal, J. K. (2012) · 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2012.6239233 · Cited by 1,452
Self-citation50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347
Koganti, N., Tamei, T., Matsubara, T., & Shibata, T. (2014) · The 23rd IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/roman.2014.6926241 · Cited by 24
Koganti, N., Tamei, T., Matsubara, T., & Shibata, T. (2013) · Proceedings of Conference on Advances In Robotics · doi:10.1145/2506095.2506146 · Cited by 21
Metadata
- Authors
- Xia, L., Chen, C.-C., & Aggarwal, J. K.
- Venue
- CVPR 2011 WORKSHOPS
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 15-22
- OpenAlex
- W2132985428
- Cited by
- 503
- References
- 11
- FWCI
- 46.39
- Type
- conference paper
- Language
- en
- Open access
- closed
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