Hi Anusha, A few suggestions to improve your implementation. Haar and HoG are used to get visual descriptors which can be used to describe an image. Then both of them are using boosting classification like AdaBoost to tune up its performance. When you are using haar-like feature extraction method you need to use more that one model in order to make the final decision. Let's say you are using full body classifier for human detection. Along with this classifier, can’t detect upper body properly. When haar-like feature extraction is used you may have to use more that one classifier and the final decision will be taken aggregation or composition of those results. Next important thing is pre-processing. It may be composed of color balancing, gamma correction , changing color space and some of the factors which unique to the environment which you're trying out. Processing model is also more important since this is to be done in real time. If you can explain your algorithm we will able to provide some guidance in order to improve your algorithm to get a better result.
Since the main intention of this project is to facilitate support for images process in the WSO2 Platform. I am just curious to know, how do you process the video stream in real-time with the help of CEP. Since you are using CCTV feeds which might be using RTSP or RTMP, where do you process the incoming video stream? Are you to develop RTSP or RTMP input adapters so as to get input stream into CEP? Thanks, Geesara On Wed, Aug 31, 2016 at 8:16 PM, Anusha Jayasundara <[email protected]> wrote: > Hi, > > The Progress of the video processing project is described in the attached > pdf. > > On Wed, Aug 31, 2016 at 11:39 AM, Srinath Perera <[email protected]> wrote: > >> Anusha has the people counting from video working through CEP and have a >> dashboard. ( Anusha can u send an update with screen shots?). We will also >> setup a meeting. >> >> Also seems new Camaras automatically do human detection etc and add >> object codes to videos, and if we can extract them, we can do some analysis >> without heavy processing as well. Will explore this too. >> >> Also Facebook opensourced their object detection code called FaceMask >> https://code.facebook.com/posts/561187904071636. Another to look at. >> >> --Srinath >> >> >> >> On Mon, Aug 15, 2016 at 4:14 PM, Sanjiva Weerawarana <[email protected]> >> wrote: >> >>> Looks good! >>> >>> In terms of test data we can take the video cameras in the LK Palm Grove >>> lobby as an input source to play around with people analysis. For vehicles >>> we can plop a camera pointing to Duplication Road and get plenty of data >>> :-). >>> >>> I guess we should do some small experiments to see how things work. >>> >>> Sanjiva. >>> >>> On Wed, Aug 10, 2016 at 3:02 PM, Srinath Perera <[email protected]> >>> wrote: >>> >>>> Attached document list some of the initial ideas about the topic. >>>> Anusha is exploring some of the ideas as an intern project. >>>> >>>> Please comment and help ( specially if you have worked on this area or >>>> has tried out things) >>>> >>>> >>>> Thanks >>>> Srinath >>>> >>>> -- >>>> ============================ >>>> Srinath Perera, Ph.D. >>>> http://people.apache.org/~hemapani/ >>>> http://srinathsview.blogspot.com/ >>>> >>> >>> >>> >>> -- >>> Sanjiva Weerawarana, Ph.D. >>> Founder, CEO & Chief Architect; WSO2, Inc.; http://wso2.com/ >>> email: [email protected]; office: (+1 650 745 4499 | +94 11 214 5345) >>> x5700; cell: +94 77 787 6880 | +1 408 466 5099; voip: +1 650 265 8311 >>> blog: http://sanjiva.weerawarana.org/; twitter: @sanjiva >>> Lean . Enterprise . Middleware >>> >> >> >> >> -- >> ============================ >> Srinath Perera, Ph.D. >> http://people.apache.org/~hemapani/ >> http://srinathsview.blogspot.com/ >> > > > > -- > > Anusha Jayasundara > Intern Software Engineer > WSO2 > +94711920369 > > _______________________________________________ > Architecture mailing list > [email protected] > https://mail.wso2.org/cgi-bin/mailman/listinfo/architecture > > -- Geesara Prathap Kulathunga Software Engineer WSO2 Inc; http://wso2.com Mobile : +940772684174
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