[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhang et al., 2022 - Google Patents

Wide-area crowd counting: Multi-view fusion networks for counting in large scenes

Zhang et al., 2022

View PDF
Document ID
13467930642942673943
Author
Zhang Q
Chan A
Publication year
Publication venue
International Journal of Computer Vision

External Links

Snippet

Crowd counting in single-view images has achieved outstanding performance on existing counting datasets. However, single-view counting is not applicable to large and wide scenes (eg, public parks, long subway platforms, or event spaces) because a single camera cannot …
Continue reading at arxiv.org (PDF) (other versions)

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
    • 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
    • G06T2207/20—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
    • G06T2207/30—Subject of image; Context of image processing
    • 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
    • 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
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

Similar Documents

Publication Publication Date Title
Wan et al. Kernel-based density map generation for dense object counting
Hu et al. Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries
Song et al. Vision-based vehicle detection and counting system using deep learning in highway scenes
Hu et al. Deep depth completion from extremely sparse data: A survey
Zhang et al. Wide-area crowd counting: Multi-view fusion networks for counting in large scenes
Zou et al. Manhattan Room Layout Reconstruction from a Single 360^ ∘ 360∘ Image: A Comparative Study of State-of-the-Art Methods
CN101894366B (en) Method and device for acquiring calibration parameters and video monitoring system
Matzen et al. Nyc3dcars: A dataset of 3d vehicles in geographic context
Ai et al. Deep learning for omnidirectional vision: A survey and new perspectives
Zhang et al. 3d crowd counting via multi-view fusion with 3d gaussian kernels
Tang et al. ESTHER: Joint camera self-calibration and automatic radial distortion correction from tracking of walking humans
Wan et al. Face image reflection removal
Hambarde et al. Single image depth estimation using deep adversarial training
Yan et al. Cross-modality complementary information fusion for multispectral pedestrian detection
Gao et al. Exploiting key points supervision and grouped feature fusion for multiview pedestrian detection
Guo et al. Salient object detection from low contrast images based on local contrast enhancing and non-local feature learning
Song et al. Adastereo: An efficient domain-adaptive stereo matching approach
Drobnitzky et al. Survey and systematization of 3D object detection models and methods
Xiuling et al. Starting from the structure: A review of small object detection based on deep learning
Yang et al. Survey on algorithms of people counting in dense crowd and crowd density estimation
Carvalho et al. Analysis of object description methods in a video object tracking environment
Chen et al. Multi-scale and multi-column convolutional neural network for crowd density estimation
Zhang et al. 3D crowd counting via geometric attention-guided multi-view fusion
Yuan et al. Structure flow-guided network for real depth super-resolution
Ju et al. Stereosnakes: contour based consistent object extraction for stereo images