资 源 简 介
应用背景
Discrete-Continuous Optimization for Multi-Target Tracking (CVPR 2012)
关键技术The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete problem of data association, i.e. assigning image observations to the appropriate target; (ii) the naturally continuous problem of trajectory estimation, i.e. recovering the trajectories of all targets. To go beyond simple greedy solutions for data association, recent approaches often perform multi-target tracking using discrete optimization. T
文 件 列 表
contracking-v1.0
getMetricsFromDiary.m
getStateInfo.m
makeAddMove.m
makeShrinkMove.m
cemTrackerDemo.m
README.txt
LICENSE.txt
makeSplitMove.m
makeMergeMove.m
getJumpMoveFunction.m
vectorToMatrices.m
mex
makeGrowMove.m
plotTrajectories.m
cemTracker.m
Edet.m
randomParamSearch.m
makeRemoveMove.m
E.m
matricesToVector.m
computeOcclusions2.m
utils
cemTrackerSearch.m
tmp
demo
Eper.m
computeOcclusions2d.m
getOptions.m
getConOptionsDemo.m
checkgrad.m
minimize.m
printMoveFailure.m
Eexc.m
bgdetToXML.m
compileMex.m
Edyn.m
getSceneInfoConDemo.m
