Outdoor Target Tracking Based on Intrinsic Values of Shadow Images

For the target losing problem caused by shadows during target tracking, an outdoor target tracking method is proposed based on the intrinsic value of a shadow image. A new method is proposed to calculate the intrinsic value of a shadow image based on the derivation of a linear relationship between the pixel values inside and outside the shadow areas. The sequence images are transformed into intrinsic images, which are insensitive to shadows, and then a mean shift tracker is employed to locate the object in the image. Our method doesn't need any of the camera's parameters, and has a high calculation rate. Object-tracking experiments have been done on sequence images with shadows. Compared with other tracking methods, our method has a higher tracking accuracy, and the calculation speed can achieve real-time requirements. The experimental results validate the performance of our method.