Papers Video Stabilization
“Video Stabilization” 태그가 달린 논문 62편 · 필터 해제
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions
Video stabilization plays a central role to improve videos quality. However, despite the substantial progress made by these methods, they were, mainly, tested under standard weather and lighting conditions, and may perfo…
Video StabilizationCitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
The development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical events. However, it would be challengin…
object-detectionObject DetectionVideo StabilizationGPU-accelerated SIFT-aided source identification of stabilized videos
Video stabilization is an in-camera processing commonly applied by modern acquisition devices. While significantly improving the visual quality of the resulting videos, it has been shown that such operation typically hin…
GPUVideo StabilizationDeep Learning Serves Traffic Safety Analysis: A Forward-looking Review
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (AVs) and human-operated vehicles. We pres…
Anomaly DetectionAutonomous VehiclesDeep LearningEdge-computing+4Self-Supervised Real-time Video Stabilization
Videos are a popular media form, where online video streaming has recently gathered much popularity. In this work, we propose a novel method of real-time video stabilization - transforming a shaky video to a stabilized v…
Optical Flow EstimationVideo StabilizationA fast horizon detector and a new annotated dataset for maritime video processing
Accurate and fast sea horizon detection is vital for tasks in autonomous navigation and maritime security, such as video stabilization, target region reduction, precise tracking, and obstacle avoidance. This paper introd…
Autonomous NavigationCamera CalibrationCPUVideo StabilizationOut-of-boundary View Synthesis Towards Full-Frame Video Stabilization
Warping-based video stabilizers smooth camera trajectory by constraining each pixel's displacement and warp stabilized frames from unstable ones accordingly. However, since the view outside the boundary is not available …
Optical Flow EstimationVideo StabilizationContinuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU System
The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distortion upon relative motion between a camera…
Autonomous VehiclesVideo StabilizationDepth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration. Traditional homography estimation methods heavily depend on the quantity a…
Camera CalibrationHomography EstimationImage StitchingVideo Stabilization3D Video Stabilization With Depth Estimation by CNN-Based Optimization
Video stabilization is an essential component of visual quality enhancement. Early methods rely on feature tracking to recover either 2D or 3D frame motion, which suffer from the robustness of local feature extractio…
3D ReconstructionDepth And Camera MotionDepth EstimationMotion Estimation+1Good Practices and A Strong Baseline for Traffic Anomaly Detection
The detection of traffic anomalies is a critical component of the intelligent city transportation management system. Previous works have proposed a variety of notable insights and taken a step forward in this field, howe…
Anomaly DetectionManagementvehicle detectionVideo StabilizationHybrid Neural Fusion for Full-frame Video Stabilization
Existing video stabilization methods often generate visible distortion or require aggressive cropping of frame boundaries, resulting in smaller field of views. In this work, we present a frame synthesis algorithm to achi…
Optical Flow EstimationVideo StabilizationA Method for Detection of Small Moving Objects in UAV Videos
Detection of small moving objects is an important research area with applications including monitoring of flying insects, studying their foraging behavior, using insect pollinators to monitor flowering and pollination of…
object-detectionObject DetectionSegmentation Of Remote Sensing ImagerySmall Object Detection+1Deep Online Fused Video Stabilization
We present a deep neural network (DNN) that uses both sensor data (gyroscope) and image content (optical flow) to stabilize videos through unsupervised learning. The network fuses optical flow with real/virtual camera po…
Optical Flow EstimationVideo StabilizationDUT: Learning Video Stabilization by Simply Watching Unstable Videos
Previous deep learning-based video stabilizers require a large scale of paired unstable and stable videos for training, which are difficult to collect. Traditional trajectory-based stabilizers, on the other hand, divide …
Homography EstimationVideo StabilizationDeep Motion Blind Video Stabilization
Despite the advances in the field of generative models in computer vision, video stabilization still lacks a pure regressive deep-learning-based formulation. Deep video stabilization is generally formulated with the help…
Motion EstimationOptical Flow EstimationVideo StabilizationCinematic-L1 Video Stabilization with a Log-Homography Model
We present a method for stabilizing handheld video that simulates the camera motions cinematographers achieve with equipment like tripods, dollies, and Steadicams. We formulate a constrained convex optimization problem m…
Video StabilizationReal-Time Selfie Video Stabilization
We propose a novel real-time selfie video stabilization method. Our method is completely automatic and runs at 26 fps. We use a 1D linear convolutional network to directly infer the rigid moving least squares warping whi…
Video StabilizationAdaptively Meshed Video Stabilization
Video stabilization is essential for improving visual quality of shaky videos. The current video stabilization methods usually take feature trajectories in the background to estimate one global transformation matrix or s…
BlockingMotion EstimationVideo StabilizationLearning Video Stabilization Using Optical Flow
We propose a novel neural network that infers the per-pixel warp fields for video stabilization from the optical flow fields of the input video. While previous learning based video stabilization methods attempt to implic…
Optical Flow EstimationVideo Stabilization