Abstract: Methods and systems for detecting and/or tracking one or more objects utilize depth data. An example method of detecting one or more objects in image data includes receiving depth image data corresponding to a depth image view point relative to the one or more objects. A series of binary threshold depth images are formed from the depth image data. Each of the binary threshold depth images is based on a respective depth. One or more depth extremal regions in which image pixels have the same value are identified for each of the binary depth threshold images. One or more depth maximally stable extremal regions are selected from the identified depth extremal regions based on change in area of the one or more respective depth extremal regions for different depths.

Abstract: Methods and systems process an MRI image to detect cancer. A method includes forming a series of binary threshold intensity images from an MRI image of a patient. Each of the binary threshold intensity images is based on a respective intensity. The binary threshold intensity images are processed to identify one or more bright extremal regions in which image pixels have the same value, and for which corresponding image pixels in the MRI image have a higher intensity than surrounding image pixels in the MRI image. One or more bright maximally stable extremal regions are selected from the identified bright extremal regions based on change in area of one or more respective bright extremal regions for different binary threshold images in the series. At least one of the selected one or more bright maximally stable extremal regions may be identified as potentially cancerous.

Abstract: Methods and systems for detecting and/or tracking one or more objects utilize depth data. An example method of detecting one or more objects in image data includes receiving depth image data corresponding to a depth image view point relative to the one or more objects. A series of binary threshold depth images are formed from the depth image data. Each of the binary threshold depth images is based on a respective depth. One or more depth extremal regions in which image pixels have the same value are identified for each of the binary depth threshold images. One or more depth maximally stable extremal regions are selected from the identified depth extremal regions based on change in area of the one or more respective depth extremal regions for different depths.