This paper presents a head detection and trifocal tensor pointer transfer based multi-camera collaboration. In this approach, people’s head position is detected after background subtraction and tracked by Kalman and PDA. Trifocal tensor transfer is used to locate objects in the virtual top view by the corresponding head points in two camera views. Compared with existing approach, the approach doesn’t need camera calibration and coplanar precondition, nor does the deterioration of epipolar transfer exist. The experimental comparison between this approach and other traditional ones proves its effectiveness and accuracy.