Shape Discrimination Using Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
Segmentation and Classification of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Image Segmentation Using Local Variation
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Markov random field modeled range image segmentation
Pattern Recognition Letters
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Groups of Adjacent Contour Segments for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Monocular Pedestrian Detection: Survey and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Semantic segmentation of urban scenes using dense depth maps
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Edge detecting for range data using laplacian operators
IEEE Transactions on Image Processing
Scalable Object Classification Using Range Images
3DIMPVT '11 Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
Pedestrian Protection Systems: Issues, Survey, and Challenges
IEEE Transactions on Intelligent Transportation Systems
A wrapper-based approach to image segmentation and classification
IEEE Transactions on Image Processing
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This paper proposes a vision system using a 3-D range camera for scene segmentation and pedestrian classification. The system detects and segments objects in the foreground, measures their distances to the camera, and classifies them into pedestrians and non-pedestrian obstacles. Combining range and intensity images enables fast and accurate object segmentation, and provides useful navigation cues such as the range and type of nearby objects and the ground surface. In the proposed approach, a 3-D range image is segmented using histogram processing and mean-shift clustering. The ground surface is detected by estimating its normal vector in 3-D space. Fourier and GIST descriptors are then applied on each detected region to extract shape and texture features. Finally, support vector machines are used to classify objects; in this paper we focus on differentiating pedestrian and non-pedestrian regions. The performance of the proposed system is evaluated with two datasets. One dataset for object segmentation and pedestrian classification is acquired by us using a 3-D range camera; the other is a public RGB-D dataset for people detection. Experimental results show that the proposed system performs favorably compared to some existing segmentation and feature extraction approaches.