Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
Learning to Update for Object Tracking with Recurrent Meta-learner
Model update lies at the heart of object tracking. Generally, model update is formulated as an online learning problem where a target model is learned over the online training set. Our key innovation is to \emph{formulat…
GPUMeta-LearningObject TrackingVisual Object Tracking+1Fast and Accurate Online Video Object Segmentation via Tracking Parts
基于视频的目标检测算法研究
Semantic SegmentationSemi-Supervised Video Object SegmentationVideo Object SegmentationVideo Semantic Segmentation+1Fast Video Object Segmentation by Reference-Guided Mask Propagation
We present an efficient method for the semi-supervised video object segmentation. Our method achieves accuracy competitive with state-of-the-art methods while running in a fraction of time compared to others. To this end…
DecoderObjectobject-detectionObject Detection+6High Performance Visual Tracking With Siamese Region Proposal Network
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. However, most of these trackers can hardly get …
Object TrackingRegion ProposalVideo Object TrackingVisual Object Tracking+2Visual Object Tracking: The Initialisation Problem
Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object. This BB may …
Image MattingMissing LabelsObjectObject Tracking+1A Novel Low-cost FPGA-based Real-time Object Tracking System
In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power. Therefore, in this paper, to reduce the computational …
CPUGPUObjectObject Tracking+1Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
This paper tackles the problem of video object segmentation, given some user annotation which indicates the object of interest. The problem is formulated as pixel-wise retrieval in a learned embedding space: we embed pix…
Metric LearningObjectRetrievalSegmentation+6Context-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The major contribution to the high computatio…
DenoisingFeature CompressionVisual Object TrackingVisual Tracking+1Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to resolve this issue by enforcing spatial penalty…
Video Object TrackingVisual Object TrackingVisual TrackingTracking Noisy Targets: A Review of Recent Object Tracking Approaches
Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveill…
Autonomous VehiclesObject TrackingVisual Object TrackingSaliency-Enhanced Robust Visual Tracking
Discrete correlation filter (DCF) based trackers have shown considerable success in visual object tracking. These trackers often make use of low to mid level features such as histogram of gradients (HoG) and mid-layer ac…
object-detectionObject DetectionObject TrackingRGB Salient Object Detection+3Efficient Video Object Segmentation via Network Modulation
Video object segmentation targets at segmenting a specific object throughout a video sequence, given only an annotated first frame. Recent deep learning based approaches find it effective by fine-tuning a general-purpose…
ObjectSegmentationSemantic SegmentationSemi-Supervised Video Object Segmentation+4Parallel Tracking and Verifying
Being intensively studied, visual object tracking has witnessed great advances in either speed (e.g., with correlation filters) or accuracy (e.g., with deep features). Real-time and high accuracy tracking algorithms, how…
Object TrackingVisual Object TrackingComparative Study of ECO and CFNet Trackers in Noisy Environment
Object tracking is one of the most challenging task and has secured significant attention of computer vision researchers in the past two decades. Recent deep learning based trackers have shown good performance on various…
Object TrackingVisual Object TrackingLearning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks
Recently, deep learning has achieved very promising results in visual object tracking. Deep neural networks in existing tracking methods require a lot of training data to learn a large number of parameters. However, trai…
ObjectObject TrackingVisual Object TrackingRobust Estimation of Similarity Transformation for Visual Object Tracking
Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation. To tackle this chall…
ObjectObject TrackingVideo Object TrackingVisual Object TrackingLong-Term Visual Object Tracking Benchmark
We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration of over 400 minu…
ObjectObject TrackingVisual Object TrackingVisual TrackingDiscussion among Different Methods of Updating Model Filter in Object Tracking
Discriminative correlation filters (DCF) have recently shown excellent performance in visual object tracking area. In this paper, we summarize the methods of updating model filter from discriminative correlation filter (…
ObjectObject TrackingVisual Object TrackingPixel-wise object tracking
In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segme…
ObjectObject TrackingSegmentationSemantic Segmentation+1A Survey on Hardware Implementations of Visual Object Trackers
Visual object tracking is an active topic in the computer vision domain with applications extending over numerous fields. The main sub-tasks required to build an object tracker (e.g. object detection, feature extraction …
Objectobject-detectionObject DetectionObject Tracking+2