Name: Moving Average for Error Mitigation in Pedestrian Tracking
Price: 2087.00 TWD
Availability: InStock
Author: Komati, Karin Satie ; Bianchi, Gabriel Luiz
ISBN: 9786206497530

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portada Moving Average for Error Mitigation in Pedestrian Tracking

Moving Average for Error Mitigation in Pedestrian Tracking

Type

Physical Book

Author

Karin Satie Komati

Gabriel Luiz Bianchi

Publisher

Our Knowledge Publishing

Language

English

Pages

Format

Paperback

Dimensions

22.9 x 15.2 x 0.5 cm

Weight

0.13 kg.

ISBN13

9786206497530

Synopsis "Moving Average for Error Mitigation in Pedestrian Tracking"

The Moving Average is very common in the area of time series analysis, mainly for analysing changes in stock market values. In this work, the Moving Average will be used in another context, to mitigate errors in pedestrian tracking results in video surveillance. The HOG feature extraction technique and the SVM classifier were used to detect pedestrians. For our analysis, we used the database provided by the University of Edinburgh's CAVIAR (Context Aware Vision using Image-based Active Recognition) project. The results were positive, especially when the pedestrians moved vertically in the scene in the database used.

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Moving Average for Error Mitigation in Pedestrian Tracking - Komati, Karin Satie ; Bianchi, Gabriel Luiz

Synopsis "Moving Average for Error Mitigation in Pedestrian Tracking"

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