-
Notifications
You must be signed in to change notification settings - Fork 627
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
受较深的颜色影响,很容易跟丢目标,期待加入对跟踪目标的预测算法。 #25
Comments
您好,您是怎么解决德政问题 |
什么德政问题?没明白
[email protected]
发件人: fangzhangmeipiaorou
发送时间: 2018-01-19 17:30
收件人: kongqw/OpenCVForAndroid
抄送: Dreamskya; Author
主题: Re: [kongqw/OpenCVForAndroid] 受较深的颜色影响,很容易跟丢目标,期待加入对跟踪目标的预测算法。 (#25)
您好,您是怎么解决德政问题
―
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub, or mute the thread.
|
@Dreamskya 是的,开放出来的Demo只是跑通了OpenCV的CamShift算法,受颜色影响还是很大的,目前只能通过HSV来调整,不过效果还不是很理想,可以根据需求加入KCF或者HOG等算法一起使用,但是算法复杂度较高,需要降低分辨率来提高识别速度。 |
您好,大神,你还会继续优化这个CamShift算法吗?结合KCF或者HOG算法一起使用的demo。 |
@Dreamskya 已经在优化,但是暂时不会开源出来,开源的都是基础功能哦。 |
理解。谢谢
[email protected]
发件人: Qingwei Kong
发送时间: 2018-01-23 10:57
收件人: kongqw/OpenCVForAndroid
抄送: Dreamskya; Mention
主题: Re: [kongqw/OpenCVForAndroid] 受较深的颜色影响,很容易跟丢目标,期待加入对跟踪目标的预测算法。 (#25)
@Dreamskya 已经在优化,但是暂时不会开源出来,开源的都是基础功能哦。
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub, or mute the thread.
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
camshift能有效解决目标变形和遮挡的问题,对系统资源要求不高,时间复杂度低,在简单背景下能够取得良好的跟踪效果。但当背景较为复杂,或者有许多与目标颜色相似像素干扰的情况下,会导致跟踪失败。因为它单纯的考虑颜色直方图,忽略了目标的空间分布特性,所以这种情况下需加入对跟踪目标的预测算法。
The text was updated successfully, but these errors were encountered: