Passive Probe: Mechanically-Modulated Field Sensing for Motion Tracking and Flow Estimation

A Novel Change Detection Method for Natural Disaster Detection and Segmentation from Video Sequence

Sensors ◽

10.3390/s20185076 ◽

2020 ◽

Vol 20 (18) ◽

pp. 5076

Author(s):

Huijiao Qiao ◽

Xue Wan ◽

Youchuan Wan ◽

Shengyang Li ◽

Wanfeng Zhang

Keyword(s):

Change Detection ◽

Optical Flow ◽

Natural Disaster ◽

Motion Tracking ◽

Video Sequence ◽

Monitoring And Evaluation ◽

Threshold Selection ◽

Geometric Information ◽

Flow Estimation ◽

Key Steps

Change detection (CD) is critical for natural disaster detection, monitoring and evaluation. Video satellites, new types of satellites being launched recently, are able to record the motion change during natural disasters. This raises a new problem for traditional CD methods, as they can only detect areas with highly changed radiometric and geometric information. Optical flow-based methods are able to detect the pixel-based motion tracking at fast speed; however, they are difficult to determine an optimal threshold for separating the changed from the unchanged part for CD problems. To overcome the above problems, this paper proposed a novel automatic change detection framework: OFATS (optical flow-based adaptive thresholding segmentation). Combining the characteristics of optical flow data, a new objective function based on the ratio of maximum between-class variance and minimum within-class variance has been constructed and two key steps are motion detection based on optical flow estimation using deep learning (DL) method and changed area segmentation based on an adaptive threshold selection. Experiments are carried out using two groups of video sequences, which demonstrated that the proposed method is able to achieve high accuracy with F1 value of 0.98 and 0.94, respectively.

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Occluded Object Motion Tracking Method based on Combination of 3D Reconstruction and Optical Flow Estimation

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2011.21.5.537 ◽

2011 ◽

Vol 21 (5) ◽

pp. 537-542 ◽

Cited By ~ 1

Author(s):

Jun-Heong Park ◽

Seung-Min Park ◽

Kwee-Bo Sim

Keyword(s):

3D Reconstruction ◽

Optical Flow ◽

Motion Tracking ◽

Object Motion ◽

Tracking Method ◽

Flow Estimation ◽

Optical Flow Estimation

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Physiologic Studies Provide New Perspectives on Early Speech Development

Perspectives on Speech Science and Orofacial Disorders ◽

10.1044/ssod20.2.29 ◽

2010 ◽

Vol 20 (2) ◽

pp. 29-36

Author(s):

Erin M. Wilson ◽

Ignatius S. B. Nip

Keyword(s):

Motor Control ◽

Motor Development ◽

Motion Tracking ◽

Speech Development ◽

Speech Motor Control ◽

Therapeutic Approaches ◽

Facial Motion ◽

Disordered Speech ◽

Speech Motor ◽

Physiologic Data

Abstract Although certain speech development milestones are readily observable, the developmental course of speech motor control is largely unknown. However, recent advances in facial motion tracking systems have been used to investigate articulator movements in children and the findings from these studies are being used to further our understanding of the physiologic basis of typical and disordered speech development. Physiologic work has revealed that the emergence of speech is highly dependent on the lack of flexibility in the early oromotor system. It also has been determined that the progression of speech motor development is non-linear, a finding that has motivated researchers to investigate how variables such as oromotor control, cognition, and linguistic factors affect speech development in the form of catalysts and constraints. Physiologic data are also being used to determine if non-speech oromotor behaviors play a role in the development of speech. This improved understanding of the physiology underlying speech, as well as the factors influencing its progression, helps inform our understanding of speech motor control in children with disordered speech and provide a framework for theory-driven therapeutic approaches to treatment.

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