Journal article icon

Journal article

Crowd segmentation through emergent labeling

Abstract:

As an alternative to crowd segmentation using model-based object detection methods which depend on learned appearance models, we propose a paradigm that only makes use of low-level interest points. Here the detection of objects of interest is formulated as a clustering problem. The set of feature points are associated with vertices of a graph. Edges connect vertices based on the plausibility that the two vertices could have been generated from the same object. The task of object detection amo...

Expand abstract

Actions


Authors


Journal:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume:
3247
Pages:
187-198
Publication date:
2004-01-01
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:5ab7ae54-90dd-4caa-99f6-247e76ce4bdd
Source identifiers:
439072
Local pid:
pubs:439072
Language:
English

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP