Video motion detection is also supported.
还支持视频运动检测。
It also provides video motion detection, one-way audio, and audio detection.
它还提供视频动态侦测，单向音频和音频侦测。
Optional intelligent video motion detection provides video content analysis directly at the camera.
可选智能视频动态检测为摄像机直接提供了视频内容分析。
Other features include pre - and post-alarm image buffering, video motion detection, and two-way audio support.
其他功能包括前后警报图像缓冲，视频动态侦测和双向音频支持。
It includes video intelligence, including enhanced video motion detection, audio detection, and detection of camera tampering attempts.
它包括视频情报，其中包括增强的视频运动检测，音频检测和检测相机篡改的企图。
It should also be noted that video analytics are significantly more accurate at detecting relevant activity than video motion detection (VMD), which means less storage is wasted for false events.
还需要指出的是，视频分析在侦测相关活动方面明显的比视频运动侦测(VMD)来得更准确，这意味着因虚假事件而浪费的存储空间的减少。
There’s also VR (Vibration Reduction), enhanced Motion Detection, and video recording in 720p.
它还拥有光学镜头位移减震，增强影像处理系统和最高达720p的视频录制功能。
The preprocessing of gait sequences is extract human motion from gait video. It mainly includes background model, foreground detection and morphological postprocessing.
步态序列图像预处理就是从输入序列图像中检测人的运动，主要包括步态序列图像背景建模、前景检测和形念学后处理等工作。
Camera motion detection contribute to understand and analyze video content, camera motion detection has been an important research content in video retrieval system.
摄像机运动检测有助于实现视频语义内容的理解和分析，是基于内容的视频检索系统中的重要研究内容。
In order to realize intellectuality of video monitoring, we finally discuss a kind of motion detection algorithm on the basis of video array space-time relativity in the article.
为了实现视频监控的智能化，文中最后探讨了一种基于视频序列象素时空相关性检测的运动目标检测算法。
In order to accelerate detection speed, video images are divided into blocks. Each block motion orientation is estimated by block matching methods.
为了加快检测速度，将视频图像分割成大小相等的块，并估计每个块的运动方向。
In order to obtain the facial motion data from the source video, we must first carry out the detection and tracking of facial feature.
为了得到源视频的脸部运动运动数据，人脸特征检测和人脸特征跟踪是两个先决条件。
The detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.
视频运动目标检测与跟踪算法是计算机视觉领域的一个核心课题，也是智能视频监控系统的关键底层技术。
The video object generated in this paper utilizes the technology of motion-changed region detection and edge detection.
通过采用运动变化区域检测和边缘检测技术来生成视频对象。
Secondly algorithms for the detection of the video shot boundaries with complex editing and the discrimination of camera motion and gradual transition are presented.
提出了一种能够适应复杂镜头边界编辑效果的视频镜头分割算法和一种能够有效地区分镜头运动与渐变的方法。
The detection of interest points is the basis of kinds of computer vision applications, such as: camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc.
兴趣点检测是许多计算机视觉应用的基础，如：摄像机定标、三维重建、图像匹配、视频检索、运动估计等。
It is feasible to apply dynamic video image segmentation technology in fire detection according to characteristics of motion and texture of fire outcomes such as smoke and flame.
根据火灾现场衍生物的运动特性及其自身的纹理特性，使用动态视频图像分割技术也是可行的。
A novel compressed-domain video watermarking algorithm based on motion speed was presented, the performance analysis of relative detection was given.
在运动矢量的基础上提出运动速度概念，并提出一种基于运动速度的压缩域视频流水印算法，给出相关检测性能分析。
Conventional video encoder needs large amount of extra memory and circuit to implement the motion-detection function, and has a large computational complexity on rate-control function.
传统视频编码器需要增加大量额外的存储器和电路完成以运动检测功能，且码率控制算法也比较复杂。
Conventional video encoder needs large amount of extra memory and circuit to implement the motion-detection function, and has a large computational complexity on rate-control function.
传统视频编码器需要增加大量额外的存储器和电路完成以运动检测功能，且码率控制算法也比较复杂。
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