Feature Points Based Video Object Tracking for Dynamic Scenes and Its FPGA System Prototyping

Hwang, Yin Tsung; Tsai, Bing Cheng; Pai, Yu Ting; Sheu, Ming Hwa

doi:10.1109/iih-msp.2014.87

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…Content may change prior to final publication. improve localization accuracy, and they can be categorized into detection and tracking, proximity, and distance measurement [123]. Position estimation algorithms utilize various methods for measuring range, such as ToA, TDoA, and RSS, as described in Section 2.…”

Section: B Localization and Identification Approaches Based On Rfid Systemmentioning

confidence: 99%

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Ali¹,

Liu²,

He³

et al. 2021

IEEE Access

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Object identification and localization in indoor and outdoor environments are paramount issues in object-human interaction. Recent advancements in the data fusion capabilities of multi-sensor systems have paved the way for research on emerging object identification and positioning techniques. This review describes techniques and methods used in positioning technologies. State-of-the-art localization technologies are classified into range-based, range-free and AI-based categories. An in-depth analysis of localization approaches based on laser range finder, radio-frequency identification, ultra-wideband, inertial measurement unit, etc., are presented by providing a detailed comparison based on range, accuracy, measurement method, advantages, disadvantages, and their applications. Furthermore, we investigate stateof-the-art multimodal data fusion techniques that utilize probabilistic methods for the precise estimation of object identification in motion and its localization.INDEX TERMS Indoor and outdoor positioning systems; identification and localization; unstructured environment; multi-sensor system; multi-object; positioning and localization techniques.

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Section: B Localization and Identification Approaches Based On Rfid Systemmentioning

confidence: 99%

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Ali¹,

Liu²,

He³

et al. 2021

IEEE Access

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“…Hwang et al [59] employed edges as the visual features that are extracted by a 3 × 3 Sobel filter. Three line buffers were used accordingly.…”

Section: Review Of the Hardware Implementations Of The Tracking Sysmentioning

confidence: 99%

Survey on hardware implementations of visual object trackers

El-Shafie

Habib

2019

IET Image Processing

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“…It merely tracks the objects. Y. T. Hwang et al, [3] also presents a tracking system that is based on feature points. Object segmentation is eliminated to lessen the complexity.…”

Section: Related Workmentioning

confidence: 99%

IP Camera Based Video Surveillance Using Object’s Boundary Specification

Chaudhry¹,

Suleman²

2016

IJITCS

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The ability to detect and track object of interest from sequence of frames is a crit ical and vital problem of many vision systems developed as yet. This paper presents a smart surveillance system that tracks objects of interest in a sequence of frames in their own defined respective boundaries. The objects of interest are registered or saved within the system. We have proposed a unique tracking algorith m using co mbination of SURF feature matching, Kalman filtering and temp late matching approach. Moreover, an efficient technique is proposed that is used to refine reg istered object image, ext ract object of interest and remove extraneous image area fro m it. The system will track reg istered objects in their respective boundaries using real time v ideo generated through two IP cameras positioned in front of each other.

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Feature Points Based Video Object Tracking for Dynamic Scenes and Its FPGA System Prototyping

Cited by 9 publications

References 9 publications

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Survey on hardware implementations of visual object trackers

IP Camera Based Video Surveillance Using Object’s Boundary Specification

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