An image processing device comprising: a receiving unit that receives time series data from an external device; a predicted time calculation unit that calculates a predicted time from a first time to a second time, the first time being selected from one of a time when the latest one of previously received data is generated in the external device, a time when time information is added, in the external device, to the latest one of previously received data, and the latest time of sending previously received data from the external device, the second time being a time when a next image is displayed; a time series data prediction unit that predicts time series data at the predicted time; and a drawing processing unit that renders an image based on the time series data predicted by the prediction unit, wherein the external device tracks a position or a posture of a part or all of a body of a user who observes an image, wherein the receiving unit receives, from the external device, posture information as the time series data, wherein the drawing processing unit renders, based on the posture information, an image following a movement of a part or all of the body of the user, wherein the predicted time calculation unit calculates the predicted time based on a total delay amount from when the posture information is sent from the external device to when an image that is based on the posture information is displayed, wherein the predicted time calculation unit divides the total delay amount into a constant delay that is measurable and a variant delay that is unmeasurable to calculate the total delay amount, wherein the total delay amount includes a transmission delay which is divided into a constant transmission delay and a variant transmission delay, wherein the variant delay includes the variant transmission delay and the constant delay includes the constant transmission delay, wherein the constant transmission delay is an average value measured in advance, and wherein the variant transmission delay is estimated by summing variations in receiving previous posture information. a receiving unit that receives time series data from an external device; a predicted time calculation unit that calculates a predicted time from a first time to a second time, the first time being selected from one of a time when the latest one of previously received data is generated in the external device, a time when time information is added, in the external device, to the latest one of previously received data, and the latest time of sending previously received data from the external device, the second time being a time when a next image is displayed; a time series data prediction unit that predicts time series data at the predicted time; and a drawing processing unit that renders an image based on the time series data predicted by the prediction unit, wherein the external device tracks a position or a posture of a part or all of a body of a user who observes an image, wherein the receiving unit receives, from the external device, posture information as the time series data, wherein the drawing processing unit renders, based on the posture information, an image following a movement of a part or all of the body of the user, wherein the predicted time calculation unit calculates the predicted time based on a total delay amount from when the posture information is sent from the external device to when an image that is based on the posture information is displayed, wherein the predicted time calculation unit divides the total delay amount into a constant delay that is measurable and a variant delay that is unmeasurable to calculate the total delay amount, wherein the total delay amount includes a transmission delay which is divided into a constant transmission delay and a variant transmission delay, wherein the variant delay includes the variant transmission delay and the constant delay includes the constant transmission delay, wherein the constant transmission delay is an average value measured in advance, and wherein the variant transmission delay is estimated by summing variations in receiving previous posture information.