Study and implementation of color-based object tracking in monocular image sequences

Mehmood, Muhammad Owais

doi:10.1109/scored.2009.5443273

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The ROI, whose parameters accord with the above three features, can be considered as the ROI including the real-target. Further, there are many other recent tracking methods, such as: (Mehmood, 2009) implements kernel tracking of density-based appearance models for real-time object tracking applications; discloses a wireless, embedded smart camera system for cooperative object tracking and event detection; (Sun, Z. & Sun, J., 2008) presents an approach for detecting and tracking dynamic objects with complex topology from image sequences based on intensive restraint topology adaptive snake mode; (Wang & Zhu, 2008) presents a sensor platform with multi-modalities, consisting of a dual-panoramic peripheral vision system and a narrow field-of-view hyperspectral fovea; thus, only hyperspectal images in the ROI should be captured; (Liu et al, 2006) presents a new method that addresses several challenges in automatic detection of ROI of neurosurgical video for ROI coding, which is used for neurophysiological intraoperative monitoring (IOM) system.…”

Section: Region-of-interest Trackingmentioning

confidence: 99%

Recent Advances on Video Coding

2011

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Dr. Javier (Javi) Del Ser was born in Barakaldo (Spain) in 1979. He joined the Faculty of Engineering of the University of the Basque Country (Spain) to study Electrical Engineering, obtaining his combined B.S. and M.S. degree. After finishing this degree, he became a recipient of the Fundacion de Centros Tecnologicos Inaki Goenaga doctoral grant, which allowed him to start working toward his Ph.D. degree CEIT, San Sebastian, in November 2003. In October 2006 he achieved the Ph.D. degree (cum laude) in Electrical Engineering. In addition, he was a teaching assistant at TECNUN (University of Navarra), a visiting scholar at University of Delaware (USA) and an assistant professor and researcher at the University of Mondragon, Spain. Currently he is a senior research scientist and project leader at the Telecom Unit of TECNALIA RESEARCH & INNOVATION, involved in the organization of more than 25 national and international conferences. He is a member of the IEEE Communications, Signal Processing, Computational Intelligence and Information Theory societies.

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Section: Region-of-interest Trackingmentioning

confidence: 99%

Recent Advances on Video Coding

2011

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“…The ROI, whose parameters accord with the above three features, can be considered as the ROI including the real-target. Further, there are many other recent tracking methods, such as: (Mehmood, 2009) implements kernel tracking of density-based appearance models for real-time object tracking applications; (Wang et al, 2009) discloses a wireless, embedded smart camera system for cooperative object tracking and event detection; (Sun, Z. & Sun, J., 2008) presents an approach for detecting and tracking dynamic objects with complex topology from image sequences based on intensive restraint topology adaptive snake mode; (Wang & Zhu, 2008) presents a sensor platform with multi-modalities, consisting of a dual-panoramic peripheral vision system and a narrow field-of-view hyperspectral fovea; thus, only hyperspectal images in the ROI should be captured; (Liu et al, 2006) presents a new method that addresses several challenges in automatic detection of ROI of neurosurgical video for ROI coding, which is used for neurophysiological intraoperative monitoring (IOM) system.…”

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confidence: 99%

Recent Advances in Region-of-interest Video Coding

Grois¹,

Hadar²

2011

Recent Advances on Video Coding

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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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Study and implementation of color-based object tracking in monocular image sequences

Cited by 5 publications

References 7 publications

Recent Advances on Video Coding

Recent Advances on Video Coding

Recent Advances in Region-of-interest Video Coding

Advances in Region-of-Interest Video and Image Processing

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