Name
Title | ||
|---|---|---|
Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database. |
Abstract | ||
|---|---|---|
The paper presents an emerging issue of fine-grained pedestrian action recognition that induces an advanced pre-crush safety to estimate a pedestrian intention in advance. The fine-grained pedestrian actions include visually slight differences (e.g., walking straight and crossing), which are difficult to distinguish from each other. It is believed that the fine-grained action recognition induces a pedestrian intention estimation for a helpful advanced driver-assistance systems (ADAS). The following difficulties have been studied to achieve a fine-grained and accurate pedestrian action recognition: (i) In order to analyze the fine-grained motion of a pedestrian appearance in the vehicle-mounted drive recorder, a method to describe subtle change of motion characteristics occurring in a short time is necessary; (ii) even when the background moves greatly due to the driving of the vehicle, it is necessary to detect changes in subtle motion of the pedestrian; (iii) the collection of large-scale fine-grained actions is very difficult, and therefore a relatively small database should be focused. We find out how to learn an effective recognition model with only a small-scale database. Here, we have thoroughly evaluated several types of configurations to explore an effective approach in fine-grained pedestrian action recognition without a large-scale database. Moreover, two different datasets have been collected in order to raise the issue. Finally, our proposal attained 91.01% on National Traffic Science and Environment Laboratory database (NTSEL) and 53.23% on the near-miss driving recorder database (NDRDB). The paper has improved +8.28% and +6.53% from baseline two-stream fusion convnets. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18020627 | SENSORS |
Keywords | Field | DocType |
fine-grained pedestrian action recognition,two-stream convnets,driving recorder,advanced driver-assistance systems (ADAS) | Video recording,Pedestrian,Action recognition,Engineering,Database | Journal |
Volume | Issue | Citations |
18 | 2.0 | 6 |
PageRank | References | Authors |
0.57 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirokatsu Kataoka | 1 | 31 | 18.41 |
| Yutaka Satoh | 2 | 81 | 19.19 |
| Yoshimitsu Aoki | 3 | 80 | 23.65 |
| Shoko Oikawa | 4 | 6 | 0.57 |
| Yasuhiro Matsui | 5 | 10 | 2.05 |