A novel digital image stabilization for mobile applications

Koh, In-Sung; Ro, Se-Yong; Kim, Jongpark; Min, Kyeong-Yuk; Chong, Jong‐Wha

doi:10.1109/icce.2011.5722544

Cited by 3 publications

(1 citation statement)

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“…To handle this camera motion, some methods use image stabilization techniques based on motion compensation of feature points to achieve a stable background and then apply background subtraction methods to detect moving objects [96,97]. For the case of handheld cameras, camera motion models (eg., 3D motion models [98] or [99]) can be efficiently used to compensate camera vibrations.…”

Section: Camera Motionmentioning

confidence: 99%

New trends on moving object detection in video images captured by a moving camera: A survey

Yazdi

Bouwmans

2018

Computer Science Review

210

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This paper presents a survey on the latest methods of moving object detection in video sequences captured by a moving camera. Although many researches and excellent works have reviewed the methods of object detection and background subtraction for a fixed camera, there is no survey which presents a complete review of the existing different methods in the case of moving camera. Most methods in this field can be classified into four categories: modelling based background subtraction, trajectory classification, low rank and sparse matrix decomposition, and object tracking. We discuss in details each category and present the main methods which proposed improvements in the general concept of the techniques. We also present challenges and main concerns in this field as well as performance metrics and some benchmark databases available to evaluate the performance of different moving object detection algorithms.

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Section: Camera Motionmentioning

confidence: 99%