/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" /*======================= TIME AVERAGING FILTER =========================*/ #define TIME_WND 5 class CvBlobTrackPostProcTimeAver:public CvBlobTrackPostProcOne { protected: CvBlob m_Blob; CvBlob m_pBlobs[TIME_WND]; float m_Weights[TIME_WND]; int m_Frame; public: CvBlobTrackPostProcTimeAver( int KernelType = 0) { int i; m_Frame = 0; for(i=0;i<TIME_WND;++i) { m_Weights[i] = 1; if(KernelType == 1) { m_Weights[i] = (float)exp((-2.3*i)/(TIME_WND-1)); /* last weight is 0.1 of first weight */ } } SetModuleName("TimeAver"); }; ~CvBlobTrackPostProcTimeAver(){}; CvBlob* Process(CvBlob* pBlob) { float WSum = 0; int i; int idx = m_Frame % TIME_WND; int size = MIN((m_Frame+1), TIME_WND); m_pBlobs[idx] = pBlob[0]; m_Blob.x = m_Blob.y = m_Blob.w = m_Blob.h = 0; for(i=0; i<size; ++i) { float W = m_Weights[i]; int index = (m_Frame - i + TIME_WND) % TIME_WND; m_Blob.x += W*m_pBlobs[index].x; m_Blob.y += W*m_pBlobs[index].y; m_Blob.w += W*m_pBlobs[index].w; m_Blob.h += W*m_pBlobs[index].h; WSum += W; } assert(WSum>0); m_Blob.x /= WSum; m_Blob.y /= WSum; m_Blob.w /= WSum; m_Blob.h /= WSum; m_Frame++; return &m_Blob; }; void Release() { delete this; } }; /* class CvBlobTrackPostProcTimeAver */ static CvBlobTrackPostProcOne* cvCreateModuleBlobTrackPostProcTimeAverRectOne() { return (CvBlobTrackPostProcOne*) new CvBlobTrackPostProcTimeAver(0); } static CvBlobTrackPostProcOne* cvCreateModuleBlobTrackPostProcTimeAverExpOne() { return (CvBlobTrackPostProcOne*) new CvBlobTrackPostProcTimeAver(1); } CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverRect() { return cvCreateBlobTrackPostProcList(cvCreateModuleBlobTrackPostProcTimeAverRectOne); } CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverExp() { return cvCreateBlobTrackPostProcList(cvCreateModuleBlobTrackPostProcTimeAverExpOne); } /*======================= KALMAN FILTER =========================*/