An adaptive video acquisition scheme for object tracking

Srutarshi Banerjee, Juan G. Serra, Henry H. Chopp, Oliver Cossairt, A. K. Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an adaptive host-chip system for video acquisition constrained under a given bit rate to optimize object tracking performance. The chip is an imaging instrument with limited computational power consisting of a very high-resolution focal plane array (FPA) that transmits quadtree (QT)-segmented video frames to the host. The host has unlimited computational power for video analysis. We find the optimal QT decomposition to minimize a weighted rate distortion equation using the Viterbi algorithm. The weights are user-defined based on the class of objects to track. Faster R-CNN and a Kalman filter are used to detect and track the objects of interest respectively. We evaluate our architecture's performance based on the Multiple Object Tracking Accuracy (MOTA).

Original languageEnglish (US)
Title of host publicationEUSIPCO 2019 - 27th European Signal Processing Conference
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Electronic)9789082797039
DOIs
StatePublished - Sep 2019
Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain
Duration: Sep 2 2019Sep 6 2019

Publication series

NameEuropean Signal Processing Conference
Volume2019-September
ISSN (Print)2219-5491

Conference

Conference27th European Signal Processing Conference, EUSIPCO 2019
CountrySpain
CityA Coruna
Period9/2/199/6/19

Keywords

  • Host-chip architecture
  • Object tracking
  • Optimal bit allocation
  • Rate distortion
  • Viterbi algorithm

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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