| dc.contributor | Instituto Tecnológico de Aeronáutica (ITA) | |
| dc.contributor | Universidade Estadual Paulista (Unesp) | |
| dc.creator | Pereira, Alex | |
| dc.creator | Saotome, Osamu | |
| dc.creator | Sampaio, Daniel Souza [UNESP] | |
| dc.date | 2015-10-22T06:25:28Z | |
| dc.date | 2015-10-22T06:25:28Z | |
| dc.date | 2015-02-25 | |
| dc.date.accessioned | 2023-09-12T07:00:42Z | |
| dc.date.available | 2023-09-12T07:00:42Z | |
| dc.identifier | http://jivp.eurasipjournals.com/content/2015/1/6 | |
| dc.identifier | Eurasip Journal On Image And Video Processing. Cham: Springer International Publishing Ag, v. 2015, n. 6, p. 1-11, 2015. | |
| dc.identifier | 1687-5281 | |
| dc.identifier | http://hdl.handle.net/11449/129661 | |
| dc.identifier | 10.1186/s13640-015-0060-y | |
| dc.identifier | WOS:000356723200001 | |
| dc.identifier | WOS000356723200001.pdf | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8778996 | |
| dc.description | This paper presents an approach to classify static foreground blobs in surveillance scenarios. Possible application is the detection of abandoned and removed objects. In order to classify the blobs, we developed two novel features based on the assumption that the neighborhood of a removed object is fairly continuous. In other words, there is a continuity, in the input frame, ranging from inside the corresponding blob contour to its surrounding region. Conversely, it is usual to find a discontinuity, i.e., edges, surrounding an abandoned object. We combined the two features to provide a reliable classification. In the first feature, we use several local histograms as a measure of similarity instead of previous attempts that used a single one. In the second, we developed an innovative method to quantify the ratio of the blob contour that corresponds to actual edges in the input image. A representative set of experiments shows that the proposed approach can outperform other equivalent techniques published recently. | |
| dc.description | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
| dc.description | Instituto Tecnológico de Aeronáutica (ITA), Praça Mal. Eduardo Gomes, 50, São José dos Campos, BR, CEP 12.228-900 | |
| dc.description | Universidade Estadual Paulista, Av. Ariberto Pereira da Cunha, 333, Guaratinguetá, BR, CEP 12.516-410 | |
| dc.format | 1-11 | |
| dc.language | eng | |
| dc.publisher | Springer | |
| dc.relation | Eurasip Journal On Image And Video Processing | |
| dc.relation | 1.737 | |
| dc.relation | 0,409 | |
| dc.rights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.subject | Abandoned and removed object detection | |
| dc.subject | Video surveillance | |
| dc.subject | Video segmentation | |
| dc.title | Patch-based local histograms and contour estimation for static foreground classification | |
| dc.type | Artigo | |
