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An error occurred while processing the template.
The following has evaluated to null or missing:
==> RimuoviOmbra  [in template "20101#20127#625815" at line 6, column 56]

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Tip: If the failing expression is known to be legally refer to something that's sometimes null or missing, either specify a default value like myOptionalVar!myDefault, or use <#if myOptionalVar??>when-present<#else>when-missing</#if>. (These only cover the last step of the expression; to cover the whole expression, use parenthesis: (myOptionalVar.foo)!myDefault, (myOptionalVar.foo)??
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FTL stack trace ("~" means nesting-related):
	- Failed at: #if getterUtil.getBoolean(RimuoviOmbr...  [in template "20101#20127#625815" at line 6, column 29]
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1<#assign bgcolor = "#ffffff"> 
2<#if BackgroundColor.getData()?has_content> 
3    <#assign bgcolor = BackgroundColor.getData()> 
4</#if> 
5 
6<div class="header header-1 <#if getterUtil.getBoolean(RimuoviOmbra.getData())>no-shadow</#if>"> 
7    <div class="image" style="background-color:${bgcolor}"> 
8        <#if Image.getData()?? && Image.getData() != ""> 
9            <img src="${Image.getData()}" alt=""> 
10        </#if> 
11    </div> 
12      <div class="header-body"> 
13        <div class="container"> 
14          <div class="header-title">${Title.getData()}</div> 
15          <div class="row"> 
16            <div class="col-8"> 
17              <div class="header-text">${Abstract.getData()}</div> 
18            </div> 
19          </div> 
20           <#if Link.getData()?? && LinkLabel.getData()?? && LinkLabel.getData() != ""> 
21            <div class="header-action"><a class="btn btn-primary" href="${Link.getData()}">${LinkLabel.getData()}</a></div> 
22           </#if> 
23        </div> 
24    </div> 
25</div> 

[DI-JT]-Tab

We aim at continuous low latency tracking of moving targets, to overcome the problem of missing motion information in between inherently low frequency detections, that ultimately limits the speed that can be effectively tracked.
We apply this concept to tracking humans, by combining low frequency joints detection by human pose estimation networks with high-speed local joints tracking.

The problem of single-joint velocity estimation consists of estimating the velocity of a joint based only on events. Moreover, given that there is an external system that provides absolute pose observations at certain times, events are used between pose observations to estimate the velocity of the joint. The velocity is then integrated, with a first position defined as latest pose observation, and the pose of the joint is updated at a high frequency.

Event-driven Tracking, Velocity Estimation.