[HN Gopher] Show HN: Multi-Object Tracking in Python
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       Show HN: Multi-Object Tracking in Python
        
       Hello! I've created a small library for tracking, along with a
       tutorial. I plan to continue developing it.  Tracking is an
       important topic, closely related to object detection. However, I've
       noticed that it doesn't receive as much attention compared to
       machine learning approaches. Or, the focus is on filters like the
       Kalman filter. This tutorial begins with single object tracking and
       progressively complicates the tasks, introducing various models and
       a hypothesis tree to solve them.
        
       Author : neer201
       Score  : 31 points
       Date   : 2023-11-15 18:36 UTC (4 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | yeldarb wrote:
       | Are there situations where you'd want to use something like this
       | over a more modern algorithm like ByteTrack or DeepSORT?
        
         | martinky24 wrote:
         | If you look closely at DeepSORT, you'll find that the topics
         | used in OP's repo are fundamental pieces of its implementation.
         | 
         | And with that in mind, things like DeepSORT are generally
         | computer-vision specific, while the stuff in OP's post is more
         | general and applies to more sensor/detection sources.
         | 
         | There are many applications of tracking that don't involve an
         | optical sensor source.
        
       | quietbritishjim wrote:
       | Very nice!
       | 
       | How does it relate to Stone Soup?
       | 
       | https://stonesoup.readthedocs.io/en/v1.1/
       | 
       | (I know this is like a stereotypical HN comment of yeah this is
       | already done. But I think there's no harm in two different
       | libraries for this and you genuinely might not know about and be
       | interested in this other one.)
        
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       (page generated 2023-11-15 23:01 UTC)