SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
A real-time distributed light field camera
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Unified Multi-Camera Detection and Tracking Using Region-Matching
WOMOT '01 Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01)
An Invitation to 3-D Vision: From Images to Geometric Models
An Invitation to 3-D Vision: From Images to Geometric Models
Improved Adaptive Gaussian Mixture Model for Background Subtraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
High performance imaging using large camera arrays
ACM SIGGRAPH 2005 Papers
Synthetic Aperture Focusing using a Shear-Warp Factorization of the Viewing Transform
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Natural video matting using camera arrays
ACM SIGGRAPH 2006 Papers
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
Robust People Tracking with Global Trajectory Optimization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A self-reconfigurable camera array
SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
Object motion detection using information theoretic spatio-temporal saliency
Pattern Recognition
Particle filtering with multiple and heterogeneous cameras
Pattern Recognition
Multi-object detection and tracking by stereo vision
Pattern Recognition
Multiple camera people detection and tracking using support integration
Pattern Recognition Letters
High-Speed videography using a dense camera array
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Synthetic aperture imaging using pixel labeling via energy minimization
Pattern Recognition
High-Quality synthetic aperture auto-imaging under occlusion
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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This paper proposes a novel multi-object detection method using multiple cameras. Unlike conventional multi-camera object detection methods, our method detects multiple objects using a linear camera array. The array can stream different views of the environment and can be easily reconfigured for a scene compared with the overhead surround configuration. Using the proposed method, the synthesized results can provide not only views of significantly occluded objects but also the ability of focusing on the target while blurring objects that are not of interest. Our method does not need to reconstruct the 3D structure of the scene, can accommodate dynamic background, is able to detect objects at any depth using a new synthetic aperture imaging method based on a simple shift transformation, and can see through occluders. The experimental results show that the proposed method has a good performance and can synthesize objects located within any designated depth interval with much better clarity than that using an existing method. To our best knowledge, it is the first time that such a method using synthetic aperture imaging has been proposed and developed for multi-object detection in a complex scene with a significant occlusion at different depths.