Video Object Tracking
28 papers with code • 3 benchmarks • 11 datasets
Video Object Detection aims to detect targets in videos using both spatial and temporal information. It's usually deeply integrated with tasks such as Object Detection and Object Tracking.
Benchmarks
These leaderboards are used to track progress in Video Object Tracking
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Libraries
Use these libraries to find Video Object Tracking models and implementations
GOT-10k
CATER
SoccerNet-v2
VOT2014
BL30K
TREK-150
VideoCube
RF100
SOTVerse
Latest papers with no code
Gaga: Group Any Gaussians via 3D-aware Memory Bank
We introduce Gaga, a framework that reconstructs and segments open-world 3D scenes by leveraging inconsistent 2D masks predicted by zero-shot segmentation models.
Robust Visual Tracking by Motion Analyzing
In this paper, we propose a new algorithm that addresses this limitation by analyzing the motion pattern using the inherent tensor structure.
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
MSDeAOT efficiently propagates object masks from previous frames to the current frame using two feature scales of 16 and 8.
Video object tracking based on YOLOv7 and DeepSORT
Among the current popular MOT methods based on deep learning, Detection Based Tracking (DBT) is the most widely used in industry, and the performance of them depend on their object detection network.
TFCNet: Temporal Fully Connected Networks for Static Unbiased Temporal Reasoning
New video classification benchmarks aiming to eliminate static biases are proposed, with experiments on these new benchmarks showing that the current clip-based 3D CNNs are outperformed by RNN structures and recent video transformers.
Evaluating and Improving Interactions with Hazy Oracles
Many AI systems integrate sensor inputs, world knowledge, and human-provided information to perform inference.
INFERNO: Inferring Object-Centric 3D Scene Representations without Supervision
Each object representation defines a localized neural radiance field that is used to generate 2D views of the scene through a differentiable rendering process.
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box
The task object tracking is vital in numerous applications such as autonomous driving, intelligent surveillance, robotics, etc.
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Significant progress has been made in Video Object Segmentation (VOS), the video object tracking task in its finest level.
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking
We introduce a tracking-by-detection method that integrates a deep object detector with a particle filter tracker under the regularization framework where the tracked object is represented by a sparse dictionary.
