In this paper, we propose to learn bounding box distribution in training and calibrate the center point response in inference for robust online tracking.
ABSTRACT. Visual tracking aims at both robust target classification and accurate localization. However, the reliability of the tar- get bounding box and ...
A robust tracking method using subclass discriminant analysis (SDA) color space is presented. SDA color space is proposed which seeks to find the color subspace ...
The proposed tracking method is referred to as DLPC, and the experimental results show that DLPC performs favorably against several state-of-the-art ...
Jul 26, 2023 · I would like to detect and locate a variable number of objects in images . Typically, I think I should use object detection methods (e.g. ...
Missing: Distribution Calibration Robust Tracking.
Dec 3, 2021 · In this paper, we present DCOM, a novel bounding box estimation method for visual tracking, based on distribution calibration and overlap maximization.
Missing: Point | Show results with:Point
Jun 2, 2024 · This section visualizes the tracking bounding boxes of each method across all datasets. ... Distribution Generalization of Federated Learning.
Dec 31, 2021 · In this paper, we present DCOM, a novel bounding box estimation method for visual tracking, based on distribution calibration and overlap ...
BOUNDING BOX DISTRIBUTION LEARNING AND CENTER POINT CALIBRATION FOR ROBUST VISUAL TRACKING · NEW! IEEE Signal Processing Society Offers Short Courses by Dr.
A challenging problem that needs to be faced in visual object tracking is occlusion, which includes partial occlusion, complete occlusion and blur.