Study on the Moving Target Tracking Based on Vision DSP

Gong, Xuan; Le, Zichun; Wang, Hui; Wu, Yukun

doi:10.3390/s20226494

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…Again for power HLS solution is better. The best fps is of Moving Target Tracker MTT [30] which uses SIMD based DSP platform. It also uses 4GB of RAM.…”

Section: Overall Resources and Speedmentioning

confidence: 99%

Real-time implementation of fast discriminative scale space tracking algorithm

Walid

Awais

Ahmed

et al. 2021

J Real-Time Image Proc

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Real-time object tracking is an important step of many modern image processing applications. The efficient hardware design of real-time object tracker must achieve the desired accuracy while satisfying the frame rate requirements for a variety of image sizes. The existing methods of visual tracking employ sophisticated algorithms and challenge the capabilities of most embedded architectures. Discriminative scale space tracking is one algorithm that is capable of demonstrating good performance with affordable complexity. It has a high degree of parallelism which can be exploited for efficient implementation of reconfigurable hardware architectures. This paper proposes a real-time implementation of the discriminative scale-space tracker on FPGA for the major blocks. A careful design exploration of core mathematical operations of the tracking algorithm is performed to improve their hardware utilization and timing performance. Among the core functional units optimized in this work, the discrete Fourier transform achieves a computational time improvement of 92% relative to existing works, QR factorization achieves a 2.3$$\times$$ × reduction in resource utilization, and singular value decomposition yields a 3.8$$\times$$ × improvement in processing time. The proposed data path architecture is designed using Vivado HLS tool set and implemented for Zync Zed Board (xc7z020clg484-1). For an input image size of 320 $$\times$$ × 240, the proposed architecture achieves a mean 25.38 fps.

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“…Again for power HLS solution is better. The best fps is of Moving Target Tracker MTT [30] which uses SIMD based DSP platform. It also uses 4GB of RAM.…”

Section: Overall Resources and Speedmentioning

confidence: 99%

Real-time implementation of fast discriminative scale space tracking algorithm

Walid

Awais

Ahmed

et al. 2021

J Real-Time Image Proc

View full text Add to dashboard Cite

show abstract

“…This platform, apart from the chip that can work with frequencies up to 400 MHz (50 MHz clock speed was used in the research), contains numerous useful functions such as the audio codec system with 3.5 mm jack input/output or numerous peripherals from GPIO to serial communication. The block diagram of the used system is shown in Figure (2).…”

Section: A Altera De2-115 Development Kitmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Lipowski

Majewski

Pluta

2021

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In this article, an analysis of an innovative system for filtering signals in the audible range (16 Hz -20 kHz) on programmable logic devices using a filters with a finite impulse response, is presented. Mentioned system was neat combination of software and hardware platform, where in the program layer a multiple programming languages including VHDL, JavaScript, Matlab or HTML were used to create completely useful application. To determine the coefficients of polynomial filters the Matlab Filter Design & Analysis Tool was used. Thanks to the developed graphic layer, a user-friendly interface was created, which allows easily transfer the required coefficients from the computer to the executive system. The practical implementation made on the FPGA platform, specifically on the Altera DE2-115 development kit with the FPGA Cyclone IV, was compared with simulation realization of Matlab FIR filters. The performed research confirm the effectiveness of filtration in real time with up to 128th order of the filter for both audio channels simultaneously in FPGA-based system.

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“…Visual object tracking (VOT) has emerged as a dynamic study area due to its utilization in a wide range of applications such as human action recognition [ 1 , 2 , 3 ], traffic monitoring [ 4 , 5 ], pellet ore phase [ 6 ], smart city [ 7 ], embedded system [ 8 ], surveillance [ 9 , 10 , 11 ] and medical diagnosis [ 12 , 13 ]. While significant progress has been made in recent years, accurate estimation for tracking an object is still a challenge in a video sequence due to various factors such as scale variations, occlusion, deformation, background clutters, to name a few [ 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Context, Correlation Filter and Measurement Estimation Collaboration Based Visual Object Tracking

Mehmood

Jalil

Ali

et al. 2021

Sensors

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Despite eminent progress in recent years, various challenges associated with object tracking algorithms such as scale variations, partial or full occlusions, background clutters, illumination variations are still required to be resolved with improved estimation for real-time applications. This paper proposes a robust and fast algorithm for object tracking based on spatio-temporal context (STC). A pyramid representation-based scale correlation filter is incorporated to overcome the STC’s inability on the rapid change of scale of target. It learns appearance induced by variations in the target scale sampled at a different set of scales. During occlusion, most correlation filter trackers start drifting due to the wrong update of samples. To prevent the target model from drift, an occlusion detection and handling mechanism are incorporated. Occlusion is detected from the peak correlation score of the response map. It continuously predicts target location during occlusion and passes it to the STC tracking model. After the successful detection of occlusion, an extended Kalman filter is used for occlusion handling. This decreases the chance of tracking failure as the Kalman filter continuously updates itself and the tracking model. Further improvement to the model is provided by fusion with average peak to correlation energy (APCE) criteria, which automatically update the target model to deal with environmental changes. Extensive calculations on the benchmark datasets indicate the efficacy of the proposed tracking method with state of the art in terms of performance analysis.

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Study on the Moving Target Tracking Based on Vision DSP

Cited by 6 publications

References 28 publications

Real-time implementation of fast discriminative scale space tracking algorithm

Real-time implementation of fast discriminative scale space tracking algorithm

International Journal of Electronics and Telecommunications

Spatio-Temporal Context, Correlation Filter and Measurement Estimation Collaboration Based Visual Object Tracking

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