We describe the particle detection and tracking methods in intracellular images. Two kinds of particle detection methods are introduced when we have many and less supervised data. When we have small number of supervised data, the detection accuracy is improved by using contextual information of a particle. In particle tracking, we use posterior probability of SIFT features. We improve the tracking accuracy by considering the possibility of mis-tracking.