Visual Tracking

145 papers with code • 5 benchmarks • 19 datasets

Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.

Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking


Use these libraries to find Visual Tracking models and implementations
7 papers
3 papers
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Most implemented papers

Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

natdebru/OpenCV-Video-Label 17 May 2017

Robust object tracking requires knowledge and understanding of the object being tracked: its appearance, its motion, and how it changes over time.

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

STVIR/pysot CVPR 2019

Moreover, we propose a new model architecture to perform depth-wise and layer-wise aggregations, which not only further improves the accuracy but also reduces the model size.

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

foolwood/DCFNet 13 Apr 2017

In this work, we present an end-to-end lightweight network architecture, namely DCFNet, to learn the convolutional features and perform the correlation tracking process simultaneously.

High Performance Visual Tracking With Siamese Region Proposal Network

foolwood/DaSiamRPN CVPR 2018

Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

researchmm/SiamDW CVPR 2019

Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed.

SiamVGG: Visual Tracking using Deeper Siamese Networks

leeyeehoo/SiamVGG 7 Feb 2019

It combines a Convolutional Neural Network (CNN) backbone and a cross-correlation operator, and takes advantage of the features from exemplary images for more accurate object tracking.

Real-Time MDNet

IlchaeJung/RT-MDNet ECCV 2018

We present a fast and accurate visual tracking algorithm based on the multi-domain convolutional neural network (MDNet).

Learning regression and verification networks for long-term visual tracking

xiaobai1217/MBMD 12 Sep 2018

Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection if absent.

ATOM: Accurate Tracking by Overlap Maximization

visionml/pytracking CVPR 2019

We argue that this approach is fundamentally limited since target estimation is a complex task, requiring high-level knowledge about the object.

Fast Online Object Tracking and Segmentation: A Unifying Approach

foolwood/SiamMask CVPR 2019

In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.