Foreground Object Detection Using Two Successive Images

Wang, Jung-Ming; Cherng, Shen; Fuh, Chiou-Shann; Chen, Sei-Wang

doi:10.1109/avss.2008.25

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…Both the saliency detector and the configuration model can be learned from cluttered images downloaded from the web. Also, (Wang J. M. et al, 2008) describes a simple and novel algorithm for detecting foreground objects in video sequences using just two consecutive frames. The method is divided in three layers: sensory layer, perceptual layer, and memory layer (short-term memory in conceptual layer).…”

Section: Object Detectionmentioning

confidence: 99%

Recent Advances in Region-of-interest Video Coding

Grois¹,

Hadar²

2011

Recent Advances on Video Coding

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Section: Object Detectionmentioning

confidence: 99%

Recent Advances in Region-of-interest Video Coding

Grois¹,

Hadar²

2011

Recent Advances on Video Coding

View full text Add to dashboard Cite

Robust moving object detection against fast illumination change

Choi

Chang

Yoo

et al. 2012

Computer Vision and Image Understanding

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Advances in Region-of-Interest Video and Image Processing

Grois

Hadar

2013

Multimedia Networking and Coding

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The advent of cheaper and more powerful devices with the ability to play, create, and transmit video content has led to a dramatic increase in the multimedia content distribution on both wireline and wireless networks. Also, the reduction of cost of digital video cameras along with the development of user-generated video sites (e.g., iTunes™, YouTube™) stimulated a new user-generated video content sector and made unprecedented demands for high-quality and low-delay video communication. The Region-of-Interest (ROI) is a desirable feature in many future scalable video coding applications, such as mobile device applications, which have to be adapted to be displayed on a relatively small screen; thus, a mobile device user may wish to extract and track only a predefined ROI within the displayed video. At the same time, other users having a larger mobile device screen may wish to extract other ROIs to receive higher video stream resolution. Therefore, to fulfill these requirements, it would be beneficial to simultaneously transmit or store a video stream in a variety of ROIs, as well to enable efficiently tracking of the predefined Region-of-Interest. This chapter presents recent advances in Region-of-Interest video and image processing techniques for multimedia applications, while making a special emphasis on a scalable extension of the H.264/AVC standard. The detailed observations and conclusions, which are presented in this chapter, are supported by authors’ personal experience in this field, thereby presenting a variety of experimental results.

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Foreground Object Detection Using Two Successive Images

Cited by 5 publications

References 10 publications

Recent Advances in Region-of-interest Video Coding

Recent Advances in Region-of-interest Video Coding

Robust moving object detection against fast illumination change

Advances in Region-of-Interest Video and Image Processing

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