This　paper　employs　the　methods　of　human　detecting　and　tracking　based　on　stereo　vision　in　the　indoor　environment.　A　novel　method　of　template　matching　based　on　head-shoulder　model　is　proposed　to　detect　human.　The　presented　method　is　achieved　by　attaining　the　disparity　images　from　the　stereo　cameras,　and　extracting　the　head-shoulder　model　of　human.　Robust　human　tracking　is　performed　using　the　EKF.　The　EKF　is　used　to　locate　the　position　of　the　target　and　it　is　flexible　and　effective　in　the　practical　environment.　When　the　human　is　occluded　by　other　objects,　the　EKF　is　used　in　predicting　the　trend　of　human　movement.　This　paper　introduces　the　architecture　of　the　proposed　method　and　presents　some　experimental　results.　©　2012　IEEE.