Dynamic Bayesian Networks For Vehicle Classification In Video


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Bir Bhanu , Mehran Kafai

ABSTRACT

A system and method for classification of passenger vehicles and measuring their properties, and more particularly to a stochastic multi-class vehicle classification system, which classifies a vehicle (given its direct rear-side view) into one of four classes Sedan, Pickup truck, SUV/Minivan, and unknown, and wherein a feature pool of tail light and vehicle dimensions is extracted which feeds a feature selection algorithm to define a low-dimensional feature vector, and the feature vector is then processed by a Hybrid Dynamic Bayesian Network (HDBN) to classify each vehicle. More... »

Related SciGraph Publications

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2358", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Bir Bhanu", 
        "type": "Person"
      }, 
      {
        "name": "Mehran Kafai", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00994110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046316965", 
          "https://doi.org/10.1007/bf00994110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpami.2004.51", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061742733"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

A system and method for classification of passenger vehicles and measuring their properties, and more particularly to a stochastic multi-class vehicle classification system, which classifies a vehicle (given its direct rear-side view) into one of four classes Sedan, Pickup truck, SUV/Minivan, and unknown, and wherein a feature pool of tail light and vehicle dimensions is extracted which feeds a feature selection algorithm to define a low-dimensional feature vector, and the feature vector is then processed by a Hybrid Dynamic Bayesian Network (HDBN) to classify each vehicle.

", "id": "sg:patent.US-20140085475-A1", "keywords": [ "dynamic Bayesian network", "method", "classification", "passenger vehicle", "classification system", "classifies", "vehicle", "side", "class", "pickup", "wherein", "feature", "light", "dimension", "feature selection", "feature vector" ], "name": "DYNAMIC BAYESIAN NETWORKS FOR VEHICLE CLASSIFICATION IN VIDEO", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.30389.31", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-20140085475-A1" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:35", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_b7bdf8d8.jsonl", "type": "Patent" } ]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/patent.US-20140085475-A1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-20140085475-A1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-20140085475-A1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-20140085475-A1'


 

This table displays all metadata directly associated to this object as RDF triples.

48 TRIPLES      14 PREDICATES      31 URIs      23 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-20140085475-A1 schema:about anzsrc-for:2358
2 schema:author Ne5378e875e1440c9991685c7be072b91
3 schema:citation sg:pub.10.1007/bf00994110
4 https://doi.org/10.1109/tpami.2004.51
5 schema:description <p id="p-0001" num="0000">A system and method for classification of passenger vehicles and measuring their properties, and more particularly to a stochastic multi-class vehicle classification system, which classifies a vehicle (given its direct rear-side view) into one of four classes Sedan, Pickup truck, SUV/Minivan, and unknown, and wherein a feature pool of tail light and vehicle dimensions is extracted which feeds a feature selection algorithm to define a low-dimensional feature vector, and the feature vector is then processed by a Hybrid Dynamic Bayesian Network (HDBN) to classify each vehicle.</p>
6 schema:keywords class
7 classification
8 classification system
9 classifies
10 dimension
11 dynamic Bayesian network
12 feature
13 feature selection
14 feature vector
15 light
16 method
17 passenger vehicle
18 pickup
19 side
20 vehicle
21 wherein
22 schema:name DYNAMIC BAYESIAN NETWORKS FOR VEHICLE CLASSIFICATION IN VIDEO
23 schema:recipient https://www.grid.ac/institutes/grid.30389.31
24 schema:sameAs https://app.dimensions.ai/details/patent/US-20140085475-A1
25 schema:sdDatePublished 2019-03-07T15:35
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher N3d31e4ba85da48ae8c46a011ad16d7cd
28 sgo:license sg:explorer/license/
29 sgo:sdDataset patents
30 rdf:type sgo:Patent
31 N17c012b031b64fb5991cb265c200f447 schema:name Mehran Kafai
32 rdf:type schema:Person
33 N3d31e4ba85da48ae8c46a011ad16d7cd schema:name Springer Nature - SN SciGraph project
34 rdf:type schema:Organization
35 N8b5dccee1d894e359a3c586f3604c601 schema:name Bir Bhanu
36 rdf:type schema:Person
37 Nb99859b1192f4ca7b375f99c3e3bcaa2 rdf:first N17c012b031b64fb5991cb265c200f447
38 rdf:rest rdf:nil
39 Ne5378e875e1440c9991685c7be072b91 rdf:first N8b5dccee1d894e359a3c586f3604c601
40 rdf:rest Nb99859b1192f4ca7b375f99c3e3bcaa2
41 anzsrc-for:2358 schema:inDefinedTermSet anzsrc-for:
42 rdf:type schema:DefinedTerm
43 sg:pub.10.1007/bf00994110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046316965
44 https://doi.org/10.1007/bf00994110
45 rdf:type schema:CreativeWork
46 https://doi.org/10.1109/tpami.2004.51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061742733
47 rdf:type schema:CreativeWork
48 https://www.grid.ac/institutes/grid.30389.31 schema:Organization
 




Preview window. Press ESC to close (or click here)


...