• Title/Summary/Keyword: Face-TLD

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A Real-time Face Tracking Algorithm using Improved CamShift with Depth Information

  • Lee, Jun-Hwan;Jung, Hyun-jo;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.2067-2078
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    • 2017
  • In this paper, a new face tracking algorithm is proposed. The CamShift (Continuously adaptive mean SHIFT) algorithm shows unstable tracking when there exist objects with similar color to that of face in the background. This drawback of the CamShift is resolved by the proposed algorithm using Kinect's pixel-by-pixel depth information and the skin detection method to extract candidate skin regions in HSV color space. Additionally, even when the target face is disappeared, or occluded, the proposed algorithm makes it robust to this occlusion by the feature point matching. Through experimental results, it is shown that the proposed algorithm is superior in tracking performance to that of existing TLD (Tracking-Learning-Detection) algorithm, and offers faster processing speed. Also, it overcomes all the existing shortfalls of CamShift with almost comparable processing time.

Real-time Face Tracking Method using Improved CamShift (향상된 캠쉬프트를 사용한 실시간 얼굴추적 방법)

  • Lee, Jun-Hwan;Yoo, Jisang
    • Journal of Broadcast Engineering
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    • v.21 no.6
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    • pp.861-877
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    • 2016
  • This paper first discusses the disadvantages of the existing CamShift Algorithm for real time face tracking, and then proposes a new Camshift Algorithm that performs better than the existing algorithm. The existing CamShift Algorithm shows unstable tracking when tracing similar colors in the background of objects. This drawback of the existing CamShift is resolved by using Kinect’s pixel-by-pixel depth information and the Skin Detection algorithm to extract candidate skin regions based on HSV color space. Additionally, even when the tracking object is not found, or when occlusion occurs, the feature point-based matching algorithm makes it robust to occlusion. By applying the improved CamShift algorithm to face tracking, the proposed real-time face tracking algorithm can be applied to various fields. The results from the experiment prove that the proposed algorithm is superior in tracking performance to that of existing TLD tracking algorithm, and offers faster processing speed. Also, while the proposed algorithm has a slower processing speed than CamShift, it overcomes all the existing shortfalls of the existing CamShift.

Robust human tracking via key face information

  • Li, Weisheng;Li, Xinyi;Zhou, Lifang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.5112-5128
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    • 2016
  • Tracking human body is an important problem in computer vision field. Tracking failures caused by occlusion can lead to wrong rectification of the target position. In this paper, a robust human tracking algorithm is proposed to address the problem of occlusion, rotation and improve the tracking accuracy. It is based on Tracking-Learning-Detection framework. The key auxiliary information is used in the framework which motivated by the fact that a tracking target is usually embedded in the context that provides useful information. First, face localization method is utilized to find key face location information. Second, the relative position relationship is established between the auxiliary information and the target location. With the relevant model, the key face information will get the current target position when a target has disappeared. Thus, the target can be stably tracked even when it is partially or fully occluded. Experiments are conducted in various challenging videos. In conjunction with online update, the results demonstrate that the proposed method outperforms the traditional TLD algorithm, and it has a relatively better tracking performance than other state-of-the-art methods.

Experimental study on TLDs equipped with an upper mounted baffle

  • Shad, Hossein;Adnan, Azlan bin;Vafaei, Mohammadreza;Behbahani, Hamid Pesaran;Oladimeji, Abdulkareem M.
    • Smart Structures and Systems
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    • v.21 no.1
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    • pp.37-51
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    • 2018
  • Tuned Liquid Dampers (TLDs) have gained wide acceptance as a system for structural control and energy dissipation. However, they face limitation caused by low damping in deep water, which affects their efficiency. Another problem with deep water TLDs is that not all water depth participates in energy dissipation. This paper investigated the effect of upper mounted baffles on the effectiveness of TLDs. The Vertical Blockage Ratio (VBR) of baffles ranged from 10% - 90%. The TLD (with and without baffle), structure, and combined structure with TLD (with and without baffles) were subjected to free and harmonic forced vibrations. Results indicated that baffles could significantly enhance the energy dissipation of TLDs, thus reducing structural responses more than structures equipped with ordinary TLDs. It was found that, there was an optimum value of VBR in which the TLD's efficiency was maximized. When TLD had an appropriate VBR, the structural acceleration and displacement responses were suppressed significantly up to 51% and 56%, respectively.

The Roles of Gold Plate (140${\mu}{\textrm}{m}$) Loaded on TLD-100 Chips in the High Energy Radiation Beams (고에너지 광자선속에서 TLD-100 chip 위에 있는 금박막(140 ${\mu}{\textrm}{m}$) 역할)

  • Vahc, Young-Woo;Park, Kyung Ran.
    • Progress in Medical Physics
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    • v.6 no.2
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    • pp.51-60
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    • 1995
  • Lithium Fluoride (LiF; TLD-100) crystal chips are normally used as thermolu minescence dosimeters (abbreviated as NC-100) for estimating the absorbed dose to the skin of a patient or in a solid water phantom undergoing radiotherapy with megavoltage photon (6 and 15MV) beams. In general, investigation has revealed a reduction in the sensitivity of NC-100 chips after many runs through heating cycles. A TLD-100 chip laminated with gold plate (140${\mu}{\textrm}{m}$) on the upper surface layer of its face toward the photon beam (abbreviated as GC-100) has properties different from that of a NC-100 chip activated by incident photons and contaminant electrons with various lower energies coming from the gantry head and air. Activation of the valence band electrons of GC-100 chips by incident photons, positrons and electrons-which come from the gold plate by mainly pair production process and partly from Compton scattering-results in more enhanced signal intensity, higher response per monitor unit, as well as a good linearity with monitor units and independence of dose rate. Since the electron beams (6 and 15 MeV) do not have the probability of pair production process with gold plate, there is only a small difference (about a 3.3% increase for 15 MeV) in the signal gaps in the TL readout for electron beams between GC- and NC-100 chips. The 3.3% increase is entirely due to the buildup caused by the 140 m gold plate. The sensitivity of GC-100 chips is much more susceptible to high energy photon beams than electron one because of pair production. The interaction of high energy photon with a material of high atomic number, such as the good plate in this case, results in a considerably significant probability of pair production. The gold plate on the NC-100 chips acts as not only an intensifier of their signals but also acts as a filter of contaminant electrons in therapeutic high energy X-ray beams.

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Real-time Face Tracking Method Robust to Occlusion (가려짐에 강인한 실시간 얼굴추적 방 법)

  • Lee, Jun-Hwan;Jung, Hyun-Jo;Yoo, Ji-Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.25-28
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    • 2016
  • 본 논문에서는 실시간 얼굴 추적을 위하여 기존의 CamShift 알고리즘의 단점을 보완한 새로운 CamShift 알고리즘을 제안한다. 배경 내 추적 객체와 색상이 유사한 객체가 존재할 경우 기존 CamShift 알고리즘은 불안정한 추적을 보여준다. 이러한 문제점을 화소 단위로 거리정보를 획득할 수 있는 Kinect 의 깊이 정보와 HSV 색공간 기반의 피부색 후보영역을 추출하는 Skin Detection 알고리즘을 이용하여 색상분포만 이용하는 기존의 CamShift 의 단점을 보완한다. 또한 추적하던 객체가 사라지거나 가려짐이 발생할 경우에도 다시 추적할 수 있는 특징점 기반의 매칭 알고리즘을 통하여 차폐영역에 강인한 특성을 가지게 한다. 이러한 향상된 CamShift 알고리즘을 사람의 얼굴 추적에 적용함으로써 다양한 분야에 활용 가능한 강인한 얼굴추적 알고리즘을 제안하고자 한다. 실험결과 제안하는 알고리즘은 기존의 추적 알고리즘인 TLD 보다 월등히 빠른 처리속도와 더 우수한 추적성능을 보여주었고, CamShift 보다 조금 느리지만 기존의 CamShift 가 가지고 있는 문제점들을 해결하였다.

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