A novel multi-object detection method in complex scene using synthetic aperture imaging

Pei, Zhao; Zhang, Yanning; Yang, Tao; Zhang, Xiuwei; Yang, Yee‐Hong

doi:10.1016/j.patcog.2011.10.003

Cited by 41 publications

(23 citation statements)

References 16 publications

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“…Over the past several years, many camera array systems [3,10,12,13,19,20,[22][23][24][25][26][27] have been setup, and the camera array synthetic aperture imaging [9,14,15,21] proves to be a powerful way to see object through occlusion.…”

Section: Related Workmentioning

confidence: 99%

“…Pei et al [15] propose a background subtraction method for segmenting and removing foreground occluder before synthetic aperture imaging. Their results are encouraging in simple static background, however this approach is very sensitive to the accuracy of moving foreground segmentation, and it may easily fail in congested scene with cluttered background.…”

Section: Related Workmentioning

confidence: 99%

“…Seeing object through occlusion is a fundamental problem in the field of computer vision and pattern recognition, and it can be widely used in many application fields, such as smart phone imaging, robot navigation, 3D reconstruction, tracking through occlusion [9], hidden object detection [15], and video surveillance etc [26]. However, because the traditional photography simply captures the 2D projection image of the 3D world, so it cannot handle occlusion essentially.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, camera array synthetic aperture imaging [3,9,10,[12][13][14][15][19][20][21][22][23][24][25][26][27] has been proved to be a potential way to handle the occlusion problem. However, the existing camera array algorithms and systems are still facing the following challenges before widely application:…”

Section: Introductionmentioning

confidence: 99%

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Kinect based real-time synthetic aperture imaging through occlusion

Yang

Wang

et al. 2015

Multimed Tools Appl

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Real-time and high performance occluded object imaging is a big challenge to many computer vision applications. In recent years, camera array synthetic aperture theory proves to be a potential powerful way to solve this problem. However, due to the high cost of complex system hardware, the severe blur of occluded object imaging, and the slow speed of image processing, the exiting camera array synthetic aperture imaging algorithms and systems are difficult to apply in practice. In this paper, we present a novel handheld system to handle those challenges. The objective of this work is to design a convenient system for real-time high quality object imaging even under severe occlusion. The main characteristics of our work include: (1) To the best of our knowledge, this is the first real-time handheld system for seeing occluded object in synthetic imaging domain using color and depth images.(2) A novel sequential synthetic aperture imaging framework is designed to achieve seamless interaction among multiple novel modules, and this framework includes object probability generation, virtual camera array generation, and sequential synthetic aperture imaging. (3) In the virtual camera array generation module, based on the integration of color and depth information, a novel feature set iterative optimization algorithm is presented, which can improve the robustness and accuracy of camera pose estimation even in dynamic occlusion scene. Experimental results in challenging scenarios demonstrate the superiority of our system both in robustness and efficiency compared against the state-of-the-art algorithms.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Kinect based real-time synthetic aperture imaging through occlusion

Yang

Wang

et al. 2015

Multimed Tools Appl

Self Cite

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“…This resembles our work in spirit, in that it using a binary mask to instructive imaging process, but it differs from our method in that it need training process and require the static occlusion. Pei et al [7] refine the synthetic aperture image method through background subtraction. By labeling the occluded areas in each camera, encouraging result is yield when it applied in scenes with moving occlusion.…”

Section: Related Workmentioning

confidence: 99%

High-Quality Synthetic Aperture Auto-imaging under Occlusion

Song

Zhang

Yang

et al. 2013

Intelligent Science and Intelligent Data Engineering

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Abstract. This paper proposes a novel method to see-through occlusion and automatically focuses on object with high-level imaging quality using camera array. Even with the amazing perspective identity, synthetic aperture imaging still suffers from blurs and disturbance caused by occlusion. The novelties of the approach include: (1) Rather than using the direct observed images to achieve synthetic aperture image, this paper raises the idea to synthesize edge image, which synthetic binary images after edge detection. (2) Based on the special data identity of camera array, this paper proposes an "Auto-Cut" segmentation idea, which could upgrade interactive cut method, such as GrowCut, GrabCut and Graph Cut, to a totally automatic method. (3) This paper proposes an automatically selecting the focal depth method which could yield a convincing estimation even under serious occluded situation. The feasibility of our approach is experimentally demonstrated. A multi-view images based improved synthetic aperture imaging system has been set up, and experimental results with qualitative and quantitative analysis demonstrate that the method can improve imaging quality and resist occlusion in challenge scene.

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All-In-Focus Synthetic Aperture Imaging

Yang

Zhang

et al. 2014

Lecture Notes in Computer Science

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A novel multi-object detection method in complex scene using synthetic aperture imaging

Cited by 41 publications

References 16 publications

Kinect based real-time synthetic aperture imaging through occlusion

Kinect based real-time synthetic aperture imaging through occlusion

High-Quality Synthetic Aperture Auto-imaging under Occlusion

All-In-Focus Synthetic Aperture Imaging

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