Abstract: A visual tracking system helps to detect or locate an active object (such as an active sound source) in a live video or recorded video, and provides a way to help a user who views the live video or recorded video to focus on the active object, without easily being disturbed or distracted by other objects that are present with the active object. The visual tracking system may further track the active object, or detect a new active object when the live video or recorded video is played.

Abstract: The present disclosure relates to a method and system for determining estimated time of arrival. The method includes receiving a service request including a departure location and a destination from a terminal device; determining a route based on the departure location and the destination; determining a first feature associated with the route; determining a transfer learning model; determining a second feature based on the first feature and the transfer learning model; and determining an estimated time of arrival based on the second feature.

Abstract: The present disclosure relates to systems and methods for recommending a route for a request. The system may perform the methods to receive a request from a terminal, wherein the request may include a departure location and a destination; determine a Generative Adversarial Network (GAN) model; determine at least one recommended route that travels from the departure location to the destination based on the GAN model; and transmit the at least one recommended route to be displayed on the terminal in response to the request.

Abstract: A system may include at least one computer-readable storage medium including a set of instructions for providing an on-demand service; and at least one processor in communication with the computer-readable storage medium. When executing the set of instructions, the at least one processor may be directed to: receive a service request from a user terminal; determine at least one route for the service request; and determine an estimated price for the service request based on the at least one route and at least one price estimation model. In some embodiments, to determine the estimated price, the processor may further be directed to: extract one or more characteristics of the service request based on the route; and process the characteristics of the service request using the price estimation model.

Abstract: The present disclosure relates to systems and methods for determining an estimated time of arrival. The systems may perform the methods to operate logical circuits to obtain a departure location associated with a terminal device and information relating to the departure location. The information may include one or more service providers. The system may operate the logical circuits to obtain a trained machine learning model. The system may operate the logical circuits to determine an estimated time of arrival for one of the one or more service providers to arrive at the departure location based on the information and the machine learning model.

Abstract: The present disclosure relates to systems and methods for recommending a route for a request. The system may perform the methods to receive a request from a terminal, wherein the request may include a departure location and a destination; determine a Generative Adversarial Network (GAN) model; determine at least one recommended route that travels from the departure location to the destination based on the GAN model; and transmit the at least one recommended route to be displayed on the terminal in response to the request.

Abstract: The present disclosure relates to a method and system for determining estimated time of arrival. The method includes receiving a service request including a departure location and a destination from a terminal device; determining a route based on the departure location and the destination; determining a first feature associated with the route; determining a transfer learning model; determining a second feature based on the first feature and the transfer learning model; and determining an estimated time of arrival based on the second feature.