Object tracking
AssigneeNokia Solutions and Networks Oy
InventorNiroj Pokhrel
Life of this patent
Estimating the term…
Abstract
An apparatus, method and computer program is described comprising detecting a first object in a first image of a sequence of images using a neural network, wherein the means for detecting the first object provides an object area indicative of a first location of the first object; and tracking the first object, wherein the means for tracking the first object further comprises generating a predicted future location of the first object and generating an updated location of the first object using the neural network. The means for generating the predicted future location of the first object may, for example, receive said object area indicative of a first location of the first object and may receive said updated location information of the first object.
Claims20
An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform the following:
- detect a first object in a first image of a sequence of images using a neural network, wherein the detected first object provides an object area indicative of a first location of the first object;
- and
- track the first object, wherein the tracked first object further causes the apparatus at least to perform:
- generate a predicted future location of the first object using a Kalman filter or an extended Kalman filter;
- and
- generate an updated location of the first object using the neural network in some instances and the Kalman filter or the extended Kalman filter in other instances.
A method comprising:
- detecting a first object in a first image of a sequence of images using a neural network, wherein the detected first object provides an object area indicative of a first location of the first object;
- and
- tracking the first object, wherein tracking the first object comprises:
- generating a predicted future location of the first object using a Kalman filter or an extended Kalman filter;
- and
- generating an updated location of the first object using the neural network in some instances and the Kalman filter or the extended Kalman filter in other instances.
A non-transitory computer-readable medium storing a computer program comprising instructions for causing an apparatus to perform at least the following:
- detect a first object in a first image of a sequence of images using a neural network, wherein the detected first object provides an object area indicative of a first location of the first object;
- and
- track the first object, wherein tracking the first object comprises:
- generating a predicted future location of the first object using a Kalman filter or an extended Kalman filter;
- and
- generating an updated location of the first object using the neural network in some instances and the Kalman filter or the extended Kalman filter in other instances.
Dependencies are inferred from the claim text.