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Visual Object Tracking

52 papers with code · Computer Vision
Subtask of Video · Object Tracking

Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.

Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

Benchmarks

Greatest papers with code

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

CVPR 2019 STVIR/pysot

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.

VISUAL OBJECT TRACKING VISUAL TRACKING

Fast Online Object Tracking and Segmentation: A Unifying Approach

CVPR 2019 foolwood/SiamMask

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.

REAL-TIME VISUAL TRACKING SEMI-SUPERVISED SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VISUAL OBJECT TRACKING

Learning Discriminative Model Prediction for Tracking

ICCV 2019 visionml/pytracking

The current strive towards end-to-end trainable computer vision systems imposes major challenges for the task of visual tracking.

VISUAL OBJECT TRACKING VISUAL TRACKING

ATOM: Accurate Tracking by Overlap Maximization

CVPR 2019 visionml/pytracking

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

VISUAL OBJECT TRACKING VISUAL TRACKING

Distractor-aware Siamese Networks for Visual Object Tracking

ECCV 2018 foolwood/DaSiamRPN

During the off-line training phase, an effective sampling strategy is introduced to control this distribution and make the model focus on the semantic distractors.

INCREMENTAL LEARNING VISUAL OBJECT TRACKING VISUAL TRACKING

High Performance Visual Tracking With Siamese Region Proposal Network

CVPR 2018 foolwood/DaSiamRPN

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.

REGION PROPOSAL VISUAL OBJECT TRACKING VISUAL TRACKING

Ocean: Object-aware Anchor-free Tracking

ECCV 2020 researchmm/SiamDW

In this paper, we propose a novel object-aware anchor-free network to address this issue.

VISUAL OBJECT TRACKING

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

CVPR 2019 researchmm/SiamDW

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

REAL-TIME VISUAL TRACKING VISUAL OBJECT TRACKING

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

7 May 2019Guanghan/lighttrack

To the best of our knowledge, this is the first paper to propose an online human pose tracking framework in a top-down fashion.

 Ranked #1 on Pose Tracking on PoseTrack2017 (MAP metric)

POSE ESTIMATION POSE TRACKING VISUAL OBJECT TRACKING

ECO: Efficient Convolution Operators for Tracking

CVPR 2017 martin-danelljan/ECO

Moreover, our fast variant, using hand-crafted features, operates at 60 Hz on a single CPU, while obtaining 65. 0% AUC on OTB-2015.

VISUAL OBJECT TRACKING