Chen et al., 2021 - Google Patents
SiamCPN: Visual tracking with the Siamese center-prediction networkChen et al., 2021
View PDF- Document ID
- 1335298188958672163
- Author
- Chen D
- Tang F
- Dong W
- Yao H
- Xu C
- Publication year
- Publication venue
- Computational Visual Media
External Links
Snippet
Object detection is widely used in object tracking; anchor-free object tracking provides an end-to-end single-object-tracking approach. In this study, we propose a new anchor-free network, the Siamese center-prediction network (SiamCPN). Given the presence of …
- 230000000007 visual effect 0 title description 19
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Denet: A universal network for counting crowd with varying densities and scales | |
Zeng et al. | Reference-based defect detection network | |
Chen et al. | Learning linear regression via single-convolutional layer for visual object tracking | |
CN112270286B (en) | Shadow interference resistant monochromatic video target tracking method | |
Liu et al. | D-CenterNet: An anchor-free detector with knowledge distillation for industrial defect detection | |
Jiang et al. | Application of a fast RCNN based on upper and lower layers in face recognition | |
Katircioglu et al. | Self-supervised human detection and segmentation via background inpainting | |
Pang et al. | Dance video motion recognition based on computer vision and image processing | |
Chen et al. | Multi-task semi-supervised crowd counting via global to local self-correction | |
Chen et al. | SiamCPN: Visual tracking with the Siamese center-prediction network | |
Qiao et al. | Fully unsupervised deepfake video detection via enhanced contrastive learning | |
Liu et al. | MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection | |
Tan et al. | IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking | |
Katircioglu et al. | Self-supervised segmentation via background inpainting | |
Liu et al. | Fabric defect detection using fully convolutional network with attention mechanism | |
Chen et al. | Illumination-invariant video cut-out using octagon sensitive optimization | |
Behera et al. | Rotation axis focused attention network (rafa-net) for estimating head pose | |
Deramgozin et al. | Attention-enabled lightweight neural network architecture for detection of action unit activation | |
Xia et al. | Media quality assessment by perceptual gaze-shift patterns discovery | |
Chen et al. | An improved BIM aided indoor localization method via enhancing cross-domain image retrieval based on deep learning | |
Yin et al. | Pedestrian detection algorithm integrating large kernel attention and YOLOV5 lightweight model | |
Paiano et al. | Transfer learning with generative models for object detection on limited datasets | |
Goyal et al. | Moving Object Detection in Video Streaming Using Improved DNN Algorithm | |
Ranganatha et al. | SELECTED SINGLE FACE TRACKING IN TECHNICALLY CHALLENGING DIFFERENT BACKGROUND VIDEO SEQUENCES USING COMBINED FEATURES. | |
Nie et al. | Enhancing motion visual cues for self-supervised video representation learning |