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Figure 2 Flowchart of motion detection approach by Cheng et al.[19].[19]
This paper presents a novel motion detection approach using a stereovision sensor for in-vehicle environment sensing system.
Accordingly, a novel motion detection approach fusing stereo with optical flow sensor has been proposed for in-vehicle environment sensing systems.
This paper addresses on this issue and presents a binocular stereovision-based in-vehicle motion detection approach which integrates stereo with optical flow.
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(2) Existing motion detection approaches often make some assumptions on object/vehicle motion or scene structure.
We compared various motion detection approaches with the proposed method for the diverse dynamic scenes shown in Fig. 8 a, where the ground truth BGS results are shown in Fig. 8 b.
In this paper, we propose a joint optical flow and PCA approach for motion detection.
Among many works focusing on computer vision, the visual surveillance problem is discussed in [1], where conventional approaches for motion detection are presented.
Several traditional image processing approaches and motion detection techniques can be considered also for the automatic detection of fast appearing and vanishing spots in wide-field and TIRF microscopy images.
The input stage to V1Model consists of an initial motion detection that is a correspondence based approach measuring the frame-to-frame similiarity of the local image structure.
Most existing approaches rely on motion detection to identify the flying bird, since it is a typical moving object.
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