Real-time AdaBoost cascade face tracker based on likelihood map and optical flow

by   Andreas Ranftl, et al.

The authors present a novel face tracking approach where optical flow information is incorporated into a modified version of the Viola Jones detection algorithm. In the original algorithm, detection is static, as information from previous frames is not considered. In addition, candidate windows have to pass all stages of the classification cascade, otherwise they are discarded as containing no face. In contrast, the proposed tracker preserves information about the number of classification stages passed by each window. Such information is used to build a likelihood map, which represents the probability of having a face located at that position. Tracking capabilities are provided by extrapolating the position of the likelihood map to the next frame by optical flow computation. The proposed algorithm works in real time on a standard laptop. The system is verified on the Boston Head Tracking Database, showing that the proposed algorithm outperforms the standard Viola Jones detector in terms of detection rate and stability of the output bounding box, as well as including the capability to deal with occlusions. The authors also evaluate two recently published face detectors based on convolutional networks and deformable part models with their algorithm showing a comparable accuracy at a fraction of the computation time.


page 4

page 5

page 8


A Framework for Real-Time Face and Facial Feature Tracking using Optical Flow Pre-estimation and Template Tracking

This work presents a framework for tracking head movements and capturing...

DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation

Modern optical flow methods make use of salient scene feature points det...

SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow

Multiple human tracking is a fundamental problem for scene understanding...

Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis

Shopping behaviour analysis through counting and tracking of people in s...

OmniTrack: Real-time detection and tracking of objects, text and logos in video

The automatic detection and tracking of general objects (like persons, a...

Class agnostic moving target detection by color and location prediction of moving area

Moving target detection plays an important role in computer vision. Howe...

Event-based Dynamic Face Detection and Tracking Based on Activity

We present the first purely event-based approach for face detection usin...

Please sign up or login with your details

Forgot password? Click here to reset