Jul 1, 2019 · In this paper, we propose a detection strategy based visual object tracking algorithm. We employ multiple trackers using layers of deep convolutional neural ...
In this paper, we propose a detection strategy based visual object tracking algorithm. We employ multiple trackers using layers of deep convolutional neural ...
In this paper, a visual tracking method based on deep learning object detection is proposed. There are many functions required in human object tracking ...
Detection based visual tracking with convolutional neural network ...
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Detection based visual tracking with convolutional neural network · Yong Wang, Xinbin Luo, +2 authors. Xian Wei · Published in Knowledge-Based Systems 1 July 2019 ...
In this project, it is aimed to use MobileNets + Single Shot Detectors along with OpenCV to perform deep learning based real time object recognition.
We propose a novel visual tracking algorithm based on the representations from a discriminatively trained Convo- lutional Neural Network (CNN).
Abstract—Object trackers based on Convolution Neural. Network (CNN) have achieved state-of-the-art performance on recent tracking benchmarks, while they ...
Jun 15, 2020 · This work mainly focused on overhead view person tracking using Faster region convolutional neural network (Faster-RCNN) in combination with GOTURN ...
In this paper, a visual tracking method based on deep learning object detection is proposed. There are many functions required in human object tracking ...
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Oct 22, 2024 · Using the traditional tracking method and a target detector based on saliency detection has led to long-term tracking. Our method runs at ...