Target Object Tracking Method and Apparatus, and Storage Medium

Abstract

The present disclosure relates to a target object tracking method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a first reference image of a target object; determining time information and location information of the target object in an image to be analyzed according to the first reference image, the image to be analyzed including the time information and the location information; determining a trajectory of the target object according to the time information and the location information of the target object; and generating tracking information for tracking the target object according to the trajectory of the target object. Embodiments of the present disclosure obtain highly-accurate tracking information of the target object according to the trajectory of the target object determined in the image to be analyzed by using the first reference image of the target object, such that the success rate of target object tracking is improved.

1 - 17 . (canceled) 
     
     
         18 . A target object tracking method, comprising:
 obtaining a first reference image of a target object and determining identification information of the target object;   determining time information and location information of the target object in an image to be analyzed according to the first reference image, the image to be analyzed comprising the time information and the location information;   determining a trajectory of the target object according to the time information and the location information of the target object; and   generating tracking information for tracking the target object according to the trajectory of the target object and the identification information of the target object,   wherein determining identification information of the target object comprises:
 when it is unable to detect the target object in an identification image library according to the first reference image of the target object, determining a second reference image of the target object in the image to be analyzed, identification images in the identification image library comprising identification information of objects, and the definition of the second reference image being greater than that of the first reference image; 
 detecting the target object in the identification image library according to the second reference image of the target object; and 
 determining the identification information of the target object according to the target object detected in the identification image library. 
   
     
     
         19 . The method according to  claim 18 , wherein determining identification information of the target object further comprises:
 when it is able to detect the target object in the identification image library according to the first reference image of the target object, detecting the target object in the identification image library according to the first reference image of the target object.   
     
     
         20 . The method according to  claim 18 , wherein determining a second reference image of the target object in the image to be analyzed comprises:
 determining the target object in the image to be analyzed according to the similarity between the candidate objects in the image to be analyzed and the first reference image; and   determining the second reference image of the target object in the image to be analyzed according to the determination result of the target object.   
     
     
         21 . The method according to  claim 18 , wherein determining the target object in the image to be analyzed according to the similarity comprises:
 when the similarity between one candidate object in the image to be analyzed and the target object is greater than a similarity threshold, determining the one candidate object as the target object.   
     
     
         22 . The method according to  claim 18 , wherein the identification image library includes identification images of a plurality of target objects, and the identification images include identification information of the target objects. 
     
     
         23 . The method according to  claim 18 , wherein identification information of the target object at least includes a name, an attribute, and feature of the target object. 
     
     
         24 . The method according to  claim 23 , wherein if the target object is a human, the identification information of the target object at least includes identity card information, criminal record information, and social relation information. 
     
     
         25 . The method according to  claim 18 , wherein if the image to be analyzed is an original captured image, the image to be analyzed includes a plurality of objects or a single object. 
     
     
         26 . The method according to  claim 18 , wherein if the image to be analyzed is an image cropped from an original captured image, each image to be analyzed merely includes one object. 
     
     
         27 . A target object tracking apparatus, comprising:
 a processor; and   a memory having stored thereon instructions that, when executed by the processor, cause the processor to:   obtain a first reference image of a target object and determine identification information of the target object;   determine time information and location information of the target object in an image to be analyzed according to the first reference image, the image to be analyzed comprising the time information and the location information;   determine a trajectory of the target object according to the time information and the location information of the target object; and   generate tracking information for tracking the target object according to the trajectory of the target object and the identification information of the target object,   wherein determining identification information of the target object comprises:
 when it is unable to detect the target object in an identification image library according to the first reference image of the target object, determining a second reference image of the target object in the image to be analyzed, identification images in the identification image library comprising identification information of objects, and the definition of the second reference image being greater than that of the first reference image; 
 detecting the target object in the identification image library according to the second reference image of the target object; and 
 determining the identification information of the target object according to the target object detected in the identification image library. 
   
     
     
         28 . The apparatus according to  claim 27 , wherein determining identification information of the target object further comprises:
 when it is able to detect the target object in the identification image library according to the first reference image of the target object, detecting the target object in the identification image library according to the first reference image of the target object.   
     
     
         29 . The apparatus according to  claim 27 , wherein determining a second reference image of the target object in the image to be analyzed comprises:
 determining the target object in the image to be analyzed according to the similarity between the candidate objects in the image to be analyzed and the first reference image; and   determining the second reference image of the target object in the image to be analyzed according to the determination result of the target object.   
     
     
         30 . The apparatus according to  claim 27 , wherein determining the target object in the image to be analyzed according to the similarity comprises:
 when the similarity between one candidate object in the image to be analyzed and the target object is greater than a similarity threshold, determining the one candidate object as the target object.   
     
     
         31 . The apparatus according to  claim 27 , wherein the identification image library includes identification images of a plurality of target objects, and the identification images include identification information of the target objects. 
     
     
         32 . The apparatus according to  claim 27 , wherein identification information of the target object at least includes a name, an attribute, and feature of the target object. 
     
     
         33 . The apparatus according to  claim 32 , wherein if the target object is a human, the identification information of the target object at least includes identity card information, criminal record information, and social relation information. 
     
     
         34 . The apparatus according to  claim 27 , wherein if the image to be analyzed is an original captured image, the image to be analyzed includes a plurality of objects or a single object. 
     
     
         35 . The apparatus according to  claim 27 , wherein if the image to be analyzed is an image cropped from an original captured image, each image to be analyzed merely includes one object. 
     
     
         36 . A non-transitory computer-readable storage medium having computer program instructions stored thereon, wherein when the computer program instructions are executed by a processor, the processor is caused to execute the target object tracking method, comprising:
 obtaining a first reference image of a target object and determining identification information of the target object;   determining time information and location information of the target object in an image to be analyzed according to the first reference image, the image to be analyzed comprising the time information and the location information;   determining a trajectory of the target object according to the time information and the location information of the target object; and   generating tracking information for tracking the target object according to the trajectory of the target object and the identification information of the target object,   wherein determining identification information of the target object comprises:
 when it is unable to detect the target object in an identification image library according to the first reference image of the target object, determining a second reference image of the target object in the image to be analyzed, identification images in the identification image library comprising identification information of objects, and the definition of the second reference image being greater than that of the first reference image; 
 detecting the target object in the identification image library according to the second reference image of the target object; and 
 determining the identification information of the target object according to the target object detected in the identification image library.