-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtrackingWebpage.html
44 lines (37 loc) · 2.03 KB
/
trackingWebpage.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
<html>
<head><link rel="stylesheet" href="trackingPageStyle.css"></head>
<header>
<div class="header">
<h1><i>RoadTrack: Tracking Road Agents In Dense and Heterogeneous Environments </h1>
</div>
</header>
<body>
<p class = "sansserif">
We present an algorithm to track different traffic agents in dense videos. Our approach is designed for heterogeneous traffic scenarios that consist of different agents including vehicles, bicycles, pedestrians, two-wheelers, etc., sharing the road. We present a novel heterogeneous traffic motion and interaction model (HTMI) to predict the motion of agents by modeling collision avoidance and interactions between the agents. We implement HTMI within the tracking-by-detection paradigm and use background subtracted representations of traffic agents to extract binary tensors for accurate tracking. We highlight the performance on a dense traffic videos and observe an accuracy of 75.8%. We observe upto approximately 4X speedup over prior tracking algorithms on standard traffic datasets.<div class="row">
<div class="column">
<figure>
<img src="/assets/images/cover.png" style="width:100%">
<figcaption><center>Heterogeneous tracking in very dense traffic</center></figcaption>
</figure>
</div>
<div class="column">
<figure>
<iframe width=400 height=250 src="https://drive.google.com/file/d/1_j44TW2nu9mKBr4JXGXfQ4fwZxVOTlF0/preview"></iframe>
<figcaption><center>Strengths: Tracking in challenging conditions</center></figcaption>
</figure>
</div>
<div class="column">
<figure>
<img src="/assets/images/strength22.png" style="width:115%">
<figcaption><center>Strengths: Tracking humans inside vehicles</center></figcaption>
</figure>
</div>
</div>
<center>
<h3 class="sansserif">Paper:</h3><a href="/attachments/IROS19_Chandra.pdf" target="_new">RoadTrack: Tracking Road Agents In Dense and Heterogeneous Environments.</a>
</center>
<center>
<iframe width=400 height=250 src="https://drive.google.com/file/d/13wOgKvfJMoJmMv_8FIDMVkFgFY4JKDHQ/preview"></iframe>
</center>
</body>
</html>