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Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Published on 2016-10-242290 Views
Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking. The key to their success is the ability to efficiently exploit available negative data by i
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Presentation
Learning Continuous Convolution Operators for Visual Tracking00:00
“tracking itself is by and large a solved problem”00:01
Visual Object Tracking (VOT) 2016 challenge results - 100:19
Visual Object Tracking (VOT) 2016 challenge results - 200:30
Visual Object Tracking (VOT) 2016 challenge results - 300:37
Tracking Challenges00:54
Feature Point Tracking01:17
Discriminative Correlation Filters (DCF) - 102:05
Discriminative Correlation Filters (DCF) - 202:23
Discriminative Correlation Filters (DCF) - 302:29
Discriminative Correlation Filters (DCF) - 402:39
Discriminative Correlation Filters (DCF) - 502:43
Discriminative Correlation Filters (DCF) - 602:59
Our Approach: Overview - 103:14
Our Approach: Overview - 203:32
Our Approach: Overview - 303:40
Our Approach: Overview - 403:54
Interpolation Operator - 104:13
Interpolation Operator - 204:28
Interpolation Operator - 304:33
Interpolation Operator - 404:39
Interpolation Operator - 504:42
Interpolation Operator - 604:49
Convolution Operator - 105:01
Convolution Operator - 205:07
Convolution Operator - 305:11
Convolution Operator - 405:19
Convolution Operator - 505:29
Training Loss - 105:37
Training Loss - 205:42
Training Loss - 305:46
Training Loss - 406:09
Localization - 106:35
Localization - 206:45
Localization - 306:56
Localization - 407:05
Localization - 507:08
Localization - 607:15
Object Tracking Framework - 107:22
Object Tracking Framework - 207:43
Object Tracking Framework - 307:50
Experiments: Object Tracking - 207:57
Experiments: Object Tracking - 308:25
OTB Dataset (100 videos)08:56
Temple-Color Dataset (128 videos)09:13
Visual Object Tracking Challenge 2016 09:20
Feature Point Tracking Framework - 109:38
Feature Point Tracking Framework - 209:53
Feature Point Tracking Framework - 310:04
Conclusions10:24
Thank You10:58