Category: Object detection

People Detection SUP Plugin


Plugin name: supProcessFilterPatchObjectDetection


Previous contributors: Étienne CORVÉE (1), Vasanth BATHRINARAYANAN
Current contributor: Silviu-Tudor SERBAN


Interest: Our purpose is to be able to optimally detect people, faces and other body parts in video sequences.

Method: For feature selection we use a variant of LBP Features designed by (1). Adaboost is used for training the data and a cascade-model for detection.

Challenges: In most of the sequences we work with, generic S.o.t.A. detectors would fail due to the following variables:

– distortion due to the Lens and/or Point Of View of the camera

– poor resolution, low FPS

– light changes

– occlusions

As an example, in some of the video sequences people appear tilted as they get further from the centre of the scene and are missed by the regular detector.


** If you are using this Plugin please let me know if you have any problems, suggestions or feature requests.

Object detection – Introduction

People involved:

Duc-Phu CHAU

Julien BADIE


Étienne CORVÉE

Silviu-Tudor SERBAN


By definition, Object detection is a computer technology related to computer vision and image processing that deals with detecting, in digital images and videos, instances of semantic objects of a certain class, such as:

– humans

– buildings

– cars, etc.

Well-researched domains of object detection include face detection and pedestrian detection.

Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.