Liu et al., 2011 - Google Patents
Multi-view vehicle detection and tracking in crossroadsLiu et al., 2011
View PDF- Document ID
- 13934861652628927958
- Author
- Liu L
- Xing J
- Ai H
- Publication year
- Publication venue
- The First Asian Conference on Pattern Recognition
External Links
Snippet
Multi-view vehicle detection and tracking in crossroads is of fundamental importance in traffic surveillance yet still remains a very challenging task. The view changes of different vehicles and their occlusions in crossroads are two main difficulties that often fail many …
- 238000001514 detection method 0 title abstract description 21
Classifications
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- 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
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- 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
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
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