A Strong Feature Representation for Siamese Network Tracker

07/18/2019
by   Zhipeng Zhou, et al.
0

Object tracking has important application in assistive technologies for personalized monitoring. Recent trackers choosing AlexNet as their backbone to extract features have gained great success. However, AlexNet is too shallow to form a strong feature representation, the tracker based on the Siamese network have an accuracy gap compared with state-of-the-art algorithms. To solve this problem, this paper proposes a tracker called SiamPF. Firstly, the modified pre-trained VGG16 network is fine-tuned as the backbone. Secondly, an AlexNet-like branch is added after the third convolutional layer and merged with the response map of the backbone network to form a preliminary strong feature representation. And then, a channel attention block is designed to adaptively select the contribution features. Finally, the APCE is modified to process the response map to reduce interference and focus the tracker on the target. Our SiamPF only used ILSVRC2015-VID for training, but it achieved excellent performance on OTB-2013 / OTB-2015 / VOT2015 / VOT2017, while maintaining the real-time performance of 41FPS on the GTX 1080Ti.

READ FULL TEXT

Authors

page 2

page 3

page 5

03/01/2021

Multiple Convolutional Features in Siamese Networks for Object Tracking

Siamese trackers demonstrated high performance in object tracking due to...
03/01/2021

MFST: Multi-Features Siamese Tracker

Siamese trackers have recently achieved interesting results due to their...
04/08/2021

Siam-ReID: Confuser Aware Siamese Tracker with Re-identification Feature

Siamese deep-network trackers have received significant attention in rec...
02/24/2018

A Twofold Siamese Network for Real-Time Object Tracking

Observing that Semantic features learned in an image classification task...
09/29/2018

Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network

Recently, convolutional neural network (CNN) has attracted much attentio...
12/15/2021

FEAR: Fast, Efficient, Accurate and Robust Visual Tracker

We present FEAR, a novel, fast, efficient, accurate, and robust Siamese ...
10/23/2021

RPT++: Customized Feature Representation for Siamese Visual Tracking

While recent years have witnessed remarkable progress in the feature rep...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.