Object detection based on particle filter and integration of multiple features

This study proposes a method for object detection using a particle filter combining with the integrated multiple features. There are two problems need to be considered in object detection. First, a single feature based object detection is difficult regarding the types of the objects and the environments (or scenes). For example, object detection based on color information will fail in the dark place. The second problem is the object's pose in the scene that is arbitrary in general. Our proposed method comes to tackle such problems to enable the object detection of various types of objects in the various scenes. We have tested proposed method in various scenes, and the results showed that our method was able to perform object detection in such scenes.