Wang et al., 2021 - Google Patents
Fast target tracking based on improved deep sort and YOLOv3 fusion algorithmWang et al., 2021
- Document ID
- 9196221642246013767
- Author
- Wang Y
- Liang Z
- Cheng X
- Publication year
- Publication venue
- Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17–20, 2021, Proceedings, Part I 7
External Links
Snippet
Aiming at fast moving targets, such as ships, high-speed vehicles and athletes, this paper discusses a series of target detection algorithms based on neural network, YOLOv3 and background modeling. Compared KCF tracking with SSD tracking, Gaussian filter was …
- 230000004927 fusion 0 title description 7
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
- G06K9/62—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
- 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
-
- 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
- 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
- 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
- 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
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- 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
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- 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
-
- 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
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bhanu | Automatic target recognition: State of the art survey | |
CN112651995B (en) | Online multi-target tracking method based on multifunctional aggregation and tracking simulation training | |
Lavanya et al. | Enhancing real-time object detection with yolo algorithm | |
Zhou et al. | A survey of multi-object video tracking algorithms | |
Li et al. | Boost infrared moving aircraft detection performance by using fast homography estimation and dual input object detection network | |
Tu et al. | A biologically inspired vision-based approach for detecting multiple moving objects in complex outdoor scenes | |
Wang et al. | Fast target tracking based on improved deep sort and YOLOv3 fusion algorithm | |
CN118297989B (en) | Semi-supervised high-robustness infrared small target tracking method and system | |
Sasikala et al. | Optimized vessel detection in marine environment using hybrid adaptive cuckoo search algorithm | |
Gong et al. | Research on an improved KCF target tracking algorithm based on CNN feature extraction | |
Chen et al. | Ship tracking for maritime traffic management via a data quality control supported framework | |
Liu et al. | An improved method for small target recognition based on faster RCNN | |
Yu et al. | Vision-based vehicle detection in foggy days by convolutional neural network | |
Paiano et al. | Ship detection and tracking based on a custom aerial dataset | |
Butler et al. | In defense of Kalman filtering for polyp tracking from colonoscopy videos | |
Yin et al. | Multi-target Tracking Based on YOLOv3 and Kalman Filter | |
Hatipoglu et al. | Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery | |
Bi et al. | Multiscale anti-deformation network for target tracking in UAV aerial videos | |
Cai et al. | HA-Net: a SAR image ship detector based on hybrid attention | |
Topaloglu | An intensity-difference-based maritime horizon detection algorithm | |
Chen et al. | FIOU tracker: An improved algorithm of IOU tracker in video with a lot of background inferences | |
Ghahremani et al. | Self-learning framework with temporal filtering for robust maritime vessel detection | |
Jiang et al. | Research on the human vehicle recognition system based on deep learning fusion remove haze algorithm | |
Wan et al. | Deeper feature integration network for salient object detection of strip steel surface defects | |
Yang et al. | Underwater sonar image detection algorithm based on corner |