Surveillance in long-distance turbulence-degraded videos

Yitzhak Yitzhaky, Eli Chen, Oren Haik

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

Surveillance in long-distance turbulence-degraded video is a difficult challenge because of the effects of the atmospheric turbulence that causes blur and random shifts in the image. As imaging distances increase, the degradation effects become more significant. This paper presents a method for surveillance in long-distance turbulence-degraded videos. This method is based on employing new criteria for discriminating true from false object detections. We employ an adaptive thresholding procedure for background subtraction, and implement new criteria for distinguishing true from false moving objects, that take into account the temporal consistency of both shape and motion properties. Results show successful detection also tracking of moving objects on challenging video sequences, which are significantly distorted with atmospheric turbulence. However, when the imaging distance is increased higher false alarms may occur. The method presented here is relatively efficient and has low complexity.

שפה מקוריתאנגלית אמריקאית
כותר פרסום המארחElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 16 דצמ׳ 2013
אירועElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing - Dresden, גרמניה
משך הזמן: 24 ספט׳ 201326 ספט׳ 2013

סדרות פרסומים

שםProceedings of SPIE - The International Society for Optical Engineering
כרך8897

כנס

כנסElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
מדינה/אזורגרמניה
עירDresden
תקופה24/09/1326/09/13

ASJC Scopus subject areas

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