Detecting Moving Objects Using Optical Flow with a Moving Stereo Camera

Toda, Tetsuro; Masuyama, Gakuto; Umeda, Kazunori

doi:10.1145/3004010.3004016

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…8. The performance of the method was compared with [12]. The experiment was conducted offline to compare with the same scene as in [12].…”

Section: Resultsmentioning

confidence: 99%

“…The performance of the method was compared with [12]. The experiment was conducted offline to compare with the same scene as in [12]. Figures 9 and 10 compare the results of the proposed method and the previous method [12] of moving object detection.…”

Section: Resultsmentioning

confidence: 99%

“…The experiment was conducted offline to compare with the same scene as in [12]. Figures 9 and 10 compare the results of the proposed method and the previous method [12] of moving object detection. The circles in these figures are feature points.…”

Section: Resultsmentioning

confidence: 99%

“…2, the processing is performed in the same way as in [12]. In the first step, feature points are extracted.…”

Section: Overview Of Approachmentioning

confidence: 99%

“…In Section 3, we conduct experiments on detecting moving objects to show the validity of the proposed method. The performance of the proposed method is compared with that of [12]. Finally, our conclusions and future work are shown in Section 4.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Moving Object Detection Using a Stereo Camera Mounted on a Moving Platform

Toda

Masuyama

Umeda

2017

SICE Journal of Control, Measurement, and System Integration

Self Cite

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: In this paper, we propose a method for detecting moving objects using a moving stereo camera. First, the camera motion parameters are estimated by using optical flow with a stereo camera. Second, the optical flow occurring in the background is removed. Finally, moving objects are detected individually by labeling the remaining optical flow. The proposed method is evaluated through experiments using two pedestrians in an indoor environment.

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“…8. The performance of the method was compared with [12]. The experiment was conducted offline to compare with the same scene as in [12].…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…2, the processing is performed in the same way as in [12]. In the first step, feature points are extracted.…”

Section: Overview Of Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Moving Object Detection Using a Stereo Camera Mounted on a Moving Platform

Toda

Masuyama

Umeda

2017

SICE Journal of Control, Measurement, and System Integration

Self Cite

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Dynamic obstacle detection method based on U–V disparity and residual optical flow for autonomous driving

Yuan

Jiang

et al. 2023

Sci Rep

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As a core step of obstacle avoidance and path planning, dynamic obstacle detection is critical for autonomous driving. This study aimed to propose a dynamic obstacle detection method based on U–V disparity and residual optical flow for autonomous driving. First, a drivable area of an unmanned vehicle was detected using U–V disparity images. Then, obstacles in the drivable area were detected using U–V disparity images and the geometric relationship between obstacle size and its disparity. Finally, the motion likelihood of each obstacle was estimated by compensating the camera ego-motion. The innovation of the proposed method was that the searching range of the moving obstacles was greatly narrowed by detecting the obstacles in the drivable area, which greatly improved not only the moving obstacle detection efficiency but also the detection accuracy. Datasets from the KITTI benchmark and our self-acquired campus scene data were chosen as testing samples. The experimental results showed that our method could achieve high detection precision, low missed detection rate and less time consumption.

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Pedestrian detection in poor weather conditions using moving camera

Jegham

Khalifa

2017

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

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Detecting Moving Objects Using Optical Flow with a Moving Stereo Camera

Cited by 6 publications

References 6 publications

Moving Object Detection Using a Stereo Camera Mounted on a Moving Platform

Moving Object Detection Using a Stereo Camera Mounted on a Moving Platform

Dynamic obstacle detection method based on U–V disparity and residual optical flow for autonomous driving

Pedestrian detection in poor weather conditions using moving camera

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