1. Most of video-surveillance based
applications use a foreground extraction algorithm to detect interest objects
from videos provided by static cameras.
- Cấu trúc: use sth to do sth from sth by sth
- Động từ chính: use to do
2. This paper presents a benchmark dataset
and evaluation process built from both synthetic and real videos, used in the
BMC work-shop (Background Models Challenge).
- Động từ chính: present
3. This dataset focuses on outdoor situations
with weather variations such as wind, sun or rain.
- Động từ chính: focus
4. Moreover, we propose some
evaluation criteria and an associated free software to compute them from
several challenging testing videos.
- Cấu trúc: do sth to do sth
- Động từ chính: propose to compute
5. The evaluation process has been applied for
several state of the art algorithms like gaussian mixture models or codebooks.
- Động từ chính: apply
6. This paper proposes a set of both synthetic and real video and several performance evaluation criteria in order to evaluate and rank background/foreground algorithms.
6. This paper proposes a set of both synthetic and real video and several performance evaluation criteria in order to evaluate and rank background/foreground algorithms.
- Cấu trúc: propose sth in order to do sth (đề xuất cái gì để làm gì?)
7. some difficulties encountered during something
Một vài khó khăn gặp phải trong khi sth
7. some difficulties encountered during something
Một vài khó khăn gặp phải trong khi sth
