Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
Functionally, a landmark recognition system contains the following processes: the obtaining of digital video flowing, character extraction and image identification.
微型无人直升机的路标识别系统主要包括实时视频流的采集、图像特征的提取和图像识别几部分。
The video sequences are processed by the background extraction and adaptation, moving objects detection, shadow detection, eroding and dilating image in order to create the moving pedestrian contour.
首先利用视频图像处理技术实现背景提取、背景更新、移动目标检测。
Face detection find faces information in the video sequence or image and determine facial size, position, trajectory, attitude, and further human face eyes, lips and other features extraction process.
人脸检测是指在视频序列或图像中寻找所有人脸信息，并确定人脸大小、位置、运动轨迹、姿态，进一步对人脸上的眼睛、嘴唇等特征进行提取的过程。
This paper studies the technology of the wide-area scene mosaics and the target extraction based on the video image sequences.
本文研究了基于视频图像序列的广域场景自动拼接技术，以及视频图像序列目标提取技术。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
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