A Moving Human Detection and Tracking using Combination of HOG and Color Histogram

Imanuddin, Achmad Ilham; Kristalina, Prima; Dewantara, Bima Sena Bayu

doi:10.1109/elecsym.2019.8901562

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Video tracking technology involves many disciplines, such as computer science, mathematics, physics, optics, and morphology, and it integrates many technologies, such as image processing, video feature extraction, pattern recognition and artificial intelligence, information analysis, detection, and recognition and tracking of target motion information, and has important significance and application prospect in both civil and military aspects [7]. Human detection and tracking technology, which can automatically identify and track dancers' targets, have always been a hot research direction in the field of computer vision [8]. The application field, however, has higher requirements for human detection and tracking technology due to the complexity and dynamics of the stage environment, and it is necessary to follow the movements of dancers on the stage in real time and consistently, or the tracking effect will be poor.…”

Section: Introductionmentioning

confidence: 99%

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

Shi

2022

Wireless Communications and Mobile Computing

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Due to the complex posture changes in dance movements, accurate detection and tracking of human targets are carried out in order to improve the guidance ability of dancers in ethnic areas. A multifeature fusion-based tracking algorithm for dancers in ethnic areas is proposed. The edge contour model of video images of dancers in ethnic areas is detected, and the video tracking scanning imaging model of dancers in ethnic areas is constructed. The video images of dancers in ethnic areas are enhanced based on the initial contour distribution, and a visual perception model of dancers tracking images in ethnic areas is established. To improve the algorithm’s estimation of complex poses and finally complete the dance movement recognition, a feature pyramid network is used to extract the features of dance movements, and then, a multifeature fusion module is used to fuse multiple features. The tracking algorithm proposed in this paper has higher robustness than other algorithms and effectively reduces the error samples generated during the tracking process, thus improving the accuracy of long-term tracking.

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Section: Introductionmentioning

confidence: 99%

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

Shi

2022

Wireless Communications and Mobile Computing

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“…Secara umum, skema pelacakan menggunakan kamera tunggal atau multi meliputi dua bagian sistem. Pertama, sistem deteksi dimana perlu adanya klasifikasi objek untuk mengenali objek pada suatu urutan gambar dan kedua adalah proses pelacakan posisi objek (Imanuddin, Kristalina, & Dewantara, 2019) (Ardiyanto & Miura, 2014) (Dewantara, Ardilla, & Thoriqy, 2019) berdasarkan sistem deteksi. Tidak jarang pelacakan dengan kamera dikombinasikan dengan teknik handoff dalam pelacakan target yang spesifik.…”

Section: Pendahuluanunclassified

Skema Handover pada Multi-kamera dengan Logika Fuzzy untuk Sistem Pemantauan Orang

2021

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ABSTRAKAdanya berbagai peristiwa yang membahayakan di tempat keramaian menyebabkan diperlukannya sebuah sistem pemantauan aktifitas manusia di sekitarnya untuk pengawasan keamanan. Sistem multi-kamera sangat cocok digunakan untuk pemantauan target pada lingkungan area yang luas. Disaat target meninggalkan jangkauan area kamera menuju lainnya, proses pemantauan target harus tetap bekerja dan diserahkan ke kamera lainnya. Protokol serah terima target dapat berjalan jika terdapat komunikasi antar kamera yang tersedia. Penelitian ini menyajikan skema handover pada sistem multi-kamera dengan menerapkan pengambilan keputusan handover berbasis logika fuzzy. Dengan begitu, target akan selalu ditangani oleh kamera meskipun target bergerak menjauhinya. Berdasarkan hasil simulasi, skema handover ini mampu mereduksi total number of handover sebesar 20% dibandingkan dengan metode AHCS (Active Handover Control Scheme). Selain itu, handover delay pada metode usulan memperoleh waktu 123.72μs dan masih lebih lama dari AHCS.Kata kunci: handover, multi-kamera, pemantauan orang, fuzzy logic ABSTRACTThe existence of various dangerous events in a crowded place causes the need of surveillance system to monitor the human activity continuously in a certain area. Multi-camera systems are used to monitor targets in large areas. When the target leaves the camera’s range for another, the target monitoring process should continue to work and be left to other cameras. The target handover protocol may work if there is communication between the available cameras. This document presents a handover scheme in a multi-camera system by applying a fuzzy logic handover decision. Thus, the target will always be processed by the camera, even if the target is moving away from it. Based on the simulation results, this handover scheme is able to reduce the total number of handovers by 20% compared to the AHCS (Active Handover Control Scheme) method. In addition, the handover delay in the proposed method obtains 123.72 μs and is still longer than the AHCS.Keywords: handover, multi-camera, human monitoring, fuzzy logic

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Human Partner and Robot Guide Coordination System Under Social Force Model Framework Using Kinect Sensor

Mu'allimi

Dewantara

Pramadihanto

et al. 2020

2020 International Electronics Symposium (IES)

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A Moving Human Detection and Tracking using Combination of HOG and Color Histogram

Cited by 3 publications

References 12 publications

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

Skema Handover pada Multi-kamera dengan Logika Fuzzy untuk Sistem Pemantauan Orang

Human Partner and Robot Guide Coordination System Under Social Force Model Framework Using Kinect Sensor

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