Answers.Body: <p>Either (a) re-recognize it in subsequent frames and then train a network employing a trajectory model to the changing object model parameters or (b) recognize the object and its motion in a single object-trajectory parameterized model from the sequence of sets of detected edges indicating edge movement in the sequence of frames.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-01-26T18:29:27.137Z
Answers.LastActivityDate: 2019-01-26T18:29:27.137Z
Answers.UserDisplayName: Douglas Daseeco
Answers.Body: <p>You can use several consecutive frames as an input. If you have dataset of moving/not moving objects, you can use it to train your model. You can use CNNs with additional time dimension in this case, for example.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-12-26T23:44:30.033Z
Answers.LastActivityDate: 2018-12-26T23:44:30.033Z
Answers.UserDisplayName: Konstantin Solomatov
Body: <p>If my algorithm detects the type of object, how should I know if that object is moving or not? Suppose a person carrying an umbrella. How to know that the umbrella is moving?</p>
  
  <p>I am working on a project where I want to know whether that particular object belongs to the person entering inside the store.
  I was thinking about the bounding boxes(bb) approach where if the person's bb overlaps with the object's bb. But the problem arises when there are multiple objects with a person. </p>
  
  <p>I would appreciate your help. Thanks. </p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-11-28T09:51:48.287Z
Comments.Text: Your title ask for moving object but your post ask about if an object belong to a person. What is your question ?
Comments.UserDisplayName: Jérémy Blain
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-11-28T09:55:27.453Z
Comments.Text: sorry for the confusing sentence. If the object moves with a person then it belongs to the person. This is the logic I want to use. I will check the start, middle and final frames to get the results.
Comments.UserDisplayName: prb
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2018-11-28T09:58:17.630Z
Comments.Text: I have tried the overlap between the bounding boxes approach. If the intesection over union between two bounding boxes is large then object belongs to the person . again I will check the frame for that
Comments.UserDisplayName: prb
Tags: <python><object-recognition>
Title: How to know whether the object is moving after it is being detected?
UserDisplayName: prb
ThreadText: # How to know whether the object is moving after it is being detected?
  
  (Asked by: username_0 on 2018-11-28)
  
  If my algorithm detects the type of object, how should I know if that object is moving or not? Suppose a person carrying an umbrella. How to know that the umbrella is moving?
  
  I am working on a project where I want to know whether that particular object belongs to the person entering inside the store.
  I was thinking about the bounding boxes(bb) approach where if the person's bb overlaps with the object's bb. But the problem arises when there are multiple objects with a person.
  
  I would appreciate your help. Thanks.
  
  **Tags:** python, object-recognition
  > **Comments:**
  > **username_1**: Your title ask for moving object but your post ask about if an object belong to a person. What is your question ?  
  > **username_0**: sorry for the confusing sentence. If the object moves with a person then it belongs to the person. This is the logic I want to use. I will check the start, middle and final frames to get the results.  
  > **username_0**: I have tried the overlap between the bounding boxes approach. If the intesection over union between two bounding boxes is large then object belongs to the person . again I will check the frame for that  
  
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  ## 2 answers
  
  ### Answer by username_2 on 2019-01-26. Score: 1
  
  Either (a) re-recognize it in subsequent frames and then train a network employing a trajectory model to the changing object model parameters or (b) recognize the object and its motion in a single object-trajectory parameterized model from the sequence of sets of detected edges indicating edge movement in the sequence of frames.
  
  
  ---
  
  ### Answer by username_3 on 2018-12-26. Score: 0
  
  You can use several consecutive frames as an input. If you have dataset of moving/not moving objects, you can use it to train your model. You can use CNNs with additional time dimension in this case, for example.
  
  
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