An Effective TBD Algorithm for the Detection of Infrared Dim-Small Moving Target in the Sky Scene

He, Lisha; Xie, Lijun; Xie, Tiansheng; Pan, Haibin; Zheng, Yao

doi:10.1007/978-3-642-35286-7_32

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The GOTURN tracking system solves the problem of tracking a single target: given the object's border frame label in the first frame of the video, we track this object through the rest of the videos. Track before detect (TBD) uses a "multi-frame detection" strategy [7] to achieve the goal, and it requires both spatial and temporal information. The algorithm tracks the paths of more than one candidate during the detection process, and also estimates the a posteriori probability for each of them, which will be compared with a certain baseline value at the end of the process.…”

Section: Object Trackingmentioning

confidence: 99%

Detection and tracking people in real-time with YOLO object detector

Srazhdinova

Ahmetova

Anvarov

2020

Challenges of Science

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In this article, we wrote not a large program to solve tasks for detection and tracking objects in real-time. The program was written in Python programming language. For object detection, a convolutional neural network was used with YOLOV3 architecture. A preliminary analysis was carried out of several variations of YOLO with CNN models. In the article, we justify why we want to use YOLO, and what it is and how to use and process the model output. We will also present the code in the form of a flowchart and as a result of the program's performance, we will show a picture of the program's operation in real-time, which was launched at one of the live lectures at the University.

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Section: Object Trackingmentioning

confidence: 99%

Detection and tracking people in real-time with YOLO object detector

Srazhdinova

Ahmetova

Anvarov

2020

Challenges of Science

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“…Fig. 2 shows the results of simulations of the proposed method relative to the other techniques, such as, Max-Mean [7], Bae's method [22], Dong's method [23] and two other MHT-based methods, namely, He's method [24] and Blostein's method [10]. The speed of the target in image sequence S1 and S2 is between [0, 1] pixel/frame in which all of the above algorithms are applicable.…”

mentioning

confidence: 99%