RT Conference Proceedings
T1 Improving the Segmentation Stage of a Pedestrian Tracking Video-based System by means of Evolution Strategies
A1 Pérez Concha, Óscar
A1 Patricio Guisado, Miguel Ángel
A1 García, Jesús
A1 Molina, José M.
AB Pedestrian tracking video-based systems present particular problems such as the multi fragmentation or low level of compactness of the resultant blobs due to the human shape or movements. This paper shows how to improve the segmentation stage of a video surveillance system by adding morphological post-processing operations so that the subsequent blocks increase their performance. The adjustment of the parameters that regulate the new morphological processes is tuned by means of Evolution Strategies. Finally, the paper proposes a group of metrics to assess the global performance of the surveillance system. After the evaluation over a high number of video sequences, the results show that the shape of the tracks match up more accurately with the parts of interests. Thus, the improvement of segmentation stage facilitates the subsequent stages so that global performance of the surveillance system increases.
PB Springer
SN 978-3-540-33237-4
SN 0302-9743
YR 2006
FD 2006
LK https://hdl.handle.net/10016/9321
UL https://hdl.handle.net/10016/9321
LA eng
NO 12 pages, 7 figures.-- Contributed to: Eighth European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP 2006, Budapest, Hungary, Apr 10-12, 2006).
NO Funded by CICYT (TIC2002-04491-C02-02)
DS e-Archivo
RD 18 may. 2024