Enhanced Active Color Image for Gait Recognition
| Autor: | Yufei Shang, Yuanlin Zhang, Yonghong Song |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Biometrics
Color image Computer science business.industry Frame (networking) 020206 networking & telecommunications Pattern recognition 02 engineering and technology Image (mathematics) Gait (human) Position (vector) 0202 electrical engineering electronic engineering information engineering RGB color model 020201 artificial intelligence & image processing Artificial intelligence business Energy (signal processing) |
| Zdroj: | Biometric Recognition ISBN: 9783319466538 CCBR |
| DOI: | 10.1007/978-3-319-46654-5_51 |
| Popis: | Active Energy Image (AEI) is an efficient template for gait recognition. However, the AEI is short of the temporal information. In this paper, we present a novel gait template, named Enhanced Active Color Image (EACI). The EACI is extract the difference of two interval in each gait frame, followed by calculating the width of that difference image and then mapping into RGB space with the ratio, describing the relative position, and composition them to a single EACI. To prove the validity of the EACI, we employ experiments on the USF HUMANID database. Experiment result shows that our EACI describes the dynamic, static and temporal information better. Compared with other published gait recognition approaches, we achieve competitive performance in gait recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|