Tracking algorithm based on the improved template matching

Xiu, Chunbo; Pan, Xiaonan

doi:10.1109/ccdc.2017.7978142

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…The work carried out by Su et al [50] has integrated color histogram with a template for maximizing the performance of video tracking along with the significance of the update process over selected regions of interest. Xiu et al [51] have extracted differential information where the initial region of the target is carried out using rough matching followed by magnifying the region of search. The study outcome is proven to offer better tracking performance in contrast to the existing template matching algorithm.…”

Section: Template-based Approachmentioning

confidence: 99%

Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches

Kumar¹,

Kavya²

2020

IJACSA

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Section: Template-based Approachmentioning

confidence: 99%

Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches

Kumar¹,

Kavya²

2020

IJACSA

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“…Optical flow dapat melakukan pelacakan dengan stabil tetapi akan terjadi galat yang cukup besar jika objek terhalang sesaat [4], [5]. Algoritma template matching memiliki karakteristik yang berkebalikan dengan algoritma optical flow, yaitu dapat melakukan pelacakan meskipun objek terhalang sesaat tetapi kurang stabil [4], [6], [7]. Metode pelacakan lainnya adalah dengan menggunakan kamera PTZ, seperti yang dilakukan oleh Lalonde dkk.…”

Section: Pendahuluanunclassified

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Fahriannur

Mardiyanto

Siswanto

2018

Jurnal Teknologi dan Sistem Komputer

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-This study is aimed to develop a tracking system algorithm by combining optical flow and template matching algorithms to strengthen tracking and minimize the resulting errors. The system has been tested on a football video game with the ball as a tracking object. The optical flow and template matching algorithms are used interchangeably based on the coordinates of both ranges calculated using the Euclidean distance equation. The result shows that the system is able to do tracking, although it is temporarily blocked by other objects, more stable and the distance error between the coordinates of the tracking result and the actual coordinates is not more than 110 pixels compared to using only optical flow or template matching algorithm. [9] mengembangkan sistem pelacakan video menggunakan algoritma frame differencing. Deteksi objek dilakukan dengan cara frame sekarang dikurangi dengan frame sebelumnya dan di antara objek yang terdeteksi dipilih salah satu objek menggunakan template matching. Hal ini mempercepat proses komputasinya dibandingkan dengan hanya menggunakan template matching saja. Parrila dkk. Keywords[10] membangun sistem pelacakan pada video lalu lintas jalan raya dengan menggunakan algoritma optical flow yang handal, yaitu dapat terus *) Penulis korespondensi (Meilana Siswanto)

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“…Therefore, it is essential to eliminate the interference of noise. 8 In recent years, many scholars have conducted relevant research on it. For example, Salih et al proposed a method of automatic segmentation of optic disk from color fundus images.…”

Section: Introductionmentioning

confidence: 99%

Punching path optimization method for warp-knitted vamp based on machine vision and improved ant colony algorithm

Chi

Zhang

et al. 2023

Journal of Engineered Fibers and Fabrics

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Aiming at the current problems of duplicated paths and low work efficiency in machine punching of warp knitted vamp marker points, this paper proposes a punching path planning method of machine vision combined with intelligent algorithms. The method can improve the timeliness of visual recognition of punching location by limiting the search area and similarity function threshold, and improve the ability of global search and adaptive adjustment in punching path planning by combining with the improved ant colony algorithm to calculate a more accurate and optimized path more efficiently. Through the visual recognition test and the simulation test of the improved ant colony algorithm, the results show that the template matching can correctly identify the positioning hole marker points for different styles, rotation directions and lighting conditions, and the recognition accuracy is 0.43 mm and the repeat positioning accuracy is 0.09 mm; meanwhile, the improved ant colony algorithm can effectively avoid the local optimal solution, which can improve the optimal rate of the result by about 38% and the algorithm can reduce the number of iterations of the optimal solution within 60 times, which greatly saves the calculation time of path planning. The method can be used to improve the efficiency of punching in the actual warp knit vamp punching.

show abstract

Tracking algorithm based on the improved template matching

Cited by 9 publications

References 7 publications

Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches

Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Punching path optimization method for warp-knitted vamp based on machine vision and improved ant colony algorithm

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